Triple
T15091025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Cerv |
E360414
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Cerv
Cerv is the surname of Bob Cerv, an American Major League Baseball outfielder known for his power hitting in the 1950s and early 1960s.
|
E1136540
|
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: Cerv | Statement: [Bob Cerv, familyName, Cerv]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cerv Context triple: [Bob Cerv, familyName, Cerv]
-
A.
Colpos
Colpos is a Mexican public institution of higher education and research specializing in agricultural, forestry, and environmental sciences.
-
B.
Cel
Cel is an Etruscan goddess associated with the earth and the underworld in ancient Italic religion.
-
C.
Cen
Cen is the standard astronomical abbreviation for Centaurus, a prominent constellation in the southern sky.
-
D.
Genitrix
Genitrix is a psychological novel by French writer François Mauriac that explores themes of maternal domination, guilt, and religious morality within a provincial bourgeois family.
-
E.
Hals
Hals is a renowned Dutch Golden Age painter, best known for his lively and expressive portraiture.
- 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: Cerv Triple: [Bob Cerv, familyName, Cerv]
Generated description
Cerv is the surname of Bob Cerv, an American Major League Baseball outfielder known for his power hitting in the 1950s and early 1960s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cerv Target entity description: Cerv is the surname of Bob Cerv, an American Major League Baseball outfielder known for his power hitting in the 1950s and early 1960s.
-
A.
Colpos
Colpos is a Mexican public institution of higher education and research specializing in agricultural, forestry, and environmental sciences.
-
B.
Cel
Cel is an Etruscan goddess associated with the earth and the underworld in ancient Italic religion.
-
C.
Cen
Cen is the standard astronomical abbreviation for Centaurus, a prominent constellation in the southern sky.
-
D.
Genitrix
Genitrix is a psychological novel by French writer François Mauriac that explores themes of maternal domination, guilt, and religious morality within a provincial bourgeois family.
-
E.
Hals
Hals is a renowned Dutch Golden Age painter, best known for his lively and expressive portraiture.
- 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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0027925788190b955fdc6626adf7d |
completed | April 15, 2026, 9:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feae1d7a0c819096b035f8ca8d0e90 |
completed | May 9, 2026, 3:46 a.m. |
| NEDg | Description generation | batch_69feaf8e1b508190b0b5ceb64d44fad6 |
completed | May 9, 2026, 3:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feb038065c8190b60266644db64092 |
completed | May 9, 2026, 3:55 a.m. |
Created at: April 10, 2026, 3:04 a.m.