Triple
T479900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicano English |
E9143
|
entity |
| Predicate | hasKeyResearcher |
P14810
|
FINISHED |
| Object |
Carmen Fought
Carmen Fought is a linguist known for her influential research on Chicano English and sociolinguistic variation in American Spanish-speaking communities.
|
E60022
|
NE FINISHED |
How this triple was built (5 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Carmen Fought | Statement: [Chicano English, hasKeyResearcher, Carmen Fought]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carmen Fought Context triple: [Chicano English, hasKeyResearcher, Carmen Fought]
-
A.
Carmen
Carmen is a famous opera by Georges Bizet, renowned for its passionate music and tragic story centered on the free-spirited gypsy Carmen.
-
B.
MAMACITA
"MAMACITA" is a 2020 Latin-influenced pop and reggaeton single by the Black Eyed Peas featuring Ozuna and J. Rey Soul.
-
C.
Blood and Sand
Blood and Sand is a 1922 silent drama film starring Rudolph Valentino as a rising bullfighter whose fame leads to personal and moral downfall.
-
D.
El Caminero
El Caminero is a major southern terminal station of Mexico City’s Metrobús bus rapid transit system.
-
E.
La Candelaria
La Candelaria is Bogotá’s historic downtown neighborhood, known for its colonial architecture, cobblestone streets, and many of the city’s main cultural and political landmarks.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Carmen Fought Triple: [Chicano English, hasKeyResearcher, Carmen Fought]
Generated description
Carmen Fought is a linguist known for her influential research on Chicano English and sociolinguistic variation in American Spanish-speaking communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Carmen Fought Target entity description: Carmen Fought is a linguist known for her influential research on Chicano English and sociolinguistic variation in American Spanish-speaking communities.
-
A.
Carmen
Carmen is a famous opera by Georges Bizet, renowned for its passionate music and tragic story centered on the free-spirited gypsy Carmen.
-
B.
MAMACITA
"MAMACITA" is a 2020 Latin-influenced pop and reggaeton single by the Black Eyed Peas featuring Ozuna and J. Rey Soul.
-
C.
Blood and Sand
Blood and Sand is a 1922 silent drama film starring Rudolph Valentino as a rising bullfighter whose fame leads to personal and moral downfall.
-
D.
El Caminero
El Caminero is a major southern terminal station of Mexico City’s Metrobús bus rapid transit system.
-
E.
La Candelaria
La Candelaria is Bogotá’s historic downtown neighborhood, known for its colonial architecture, cobblestone streets, and many of the city’s main cultural and political landmarks.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasKeyResearcher Context triple: [Chicano English, hasKeyResearcher, Carmen Fought]
-
A.
hasResearchArea
Indicates that an entity (such as a person, project, or organization) is associated with or focused on a particular field or area of research.
-
B.
conductsResearchAt
Indicates that a subject carries out research activities at a specified institution, organization, or location.
-
C.
hasAcademicAffiliation
Indicates that an entity is formally associated with an academic institution, such as through employment, enrollment, or official collaboration.
-
D.
researchStrength
Indicates the degree to which an entity possesses strong capabilities, performance, or impact in conducting research.
-
E.
involvedScientist
Indicates that a scientist participated in, contributed to, or was otherwise actively involved with a specified project, study, or activity.
- F. None of above. chosen
Provenance (7 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a2e7ff81708190b0507a24a997232c |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f057c4ac819080cf43ffaa56c350 |
completed | Feb. 28, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a46c5f07808190aeafebb8e7cd7df9 |
completed | March 1, 2026, 4:42 p.m. |
| NEDg | Description generation | batch_69a46cf0592081908803613c91c1ec13 |
completed | March 1, 2026, 4:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a46d4df73c8190a0fb6b3dbcb40e50 |
completed | March 1, 2026, 4:46 p.m. |
| PD | Predicate disambiguation | batch_69a2edf1d5848190a7da27e2fddc136f |
completed | Feb. 28, 2026, 1:30 p.m. |
| PDg | Predicate description generation | batch_69a2ef4030608190b39852b347a505ca |
completed | Feb. 28, 2026, 1:36 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.