Triple
T13727594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carrasco |
E329705
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
María Carrasco
María Carrasco is a Spanish flamenco-pop singer known for her emotive vocal style and early success as a child artist.
|
E1113101
|
NE FINISHED |
How this triple was built (4 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: María Carrasco | Statement: [Carrasco, hasNotableBearer, María Carrasco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: María Carrasco Context triple: [Carrasco, hasNotableBearer, María Carrasco]
-
A.
María Valenzuela
María Valenzuela is an Argentine actress known for her extensive work in television, film, and theater across several decades.
-
B.
María Pinto
María Pinto is a rural commune and town in central Chile known for its agricultural activities and location within the Santiago Metropolitan Region.
-
C.
María Caridad Molina
María Caridad Molina was the wife of Osvaldo Dorticós Torrado, who served as President of Cuba during the early years of the Cuban Revolution.
-
D.
María Portillo
María Portillo is a notable individual recognized for achievements significant enough to be associated with the surname Portillo.
-
E.
María Romo
María Romo is a Spanish actress known for her work in film and television.
- 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: María Carrasco Triple: [Carrasco, hasNotableBearer, María Carrasco]
Generated description
María Carrasco is a Spanish flamenco-pop singer known for her emotive vocal style and early success as a child artist.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: María Carrasco Target entity description: María Carrasco is a Spanish flamenco-pop singer known for her emotive vocal style and early success as a child artist.
-
A.
María Valenzuela
María Valenzuela is an Argentine actress known for her extensive work in television, film, and theater across several decades.
-
B.
María Pinto
María Pinto is a rural commune and town in central Chile known for its agricultural activities and location within the Santiago Metropolitan Region.
-
C.
María Caridad Molina
María Caridad Molina was the wife of Osvaldo Dorticós Torrado, who served as President of Cuba during the early years of the Cuban Revolution.
-
D.
María Portillo
María Portillo is a notable individual recognized for achievements significant enough to be associated with the surname Portillo.
-
E.
María Romo
María Romo is a Spanish actress known for her work in film and television.
- F. None of above. chosen
Provenance (5 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de01f63c1c8190a7d0b84f319aa99b |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde15abe6c8190a6212861bbce790e |
completed | May 8, 2026, 1:12 p.m. |
| NEDg | Description generation | batch_69fde41944f4819099f41860272bca49 |
completed | May 8, 2026, 1:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fde4981c98819092e30a61892a6e78 |
completed | May 8, 2026, 1:26 p.m. |
Created at: April 9, 2026, 9:55 p.m.