Triple
T5226175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sophie Tucker |
E117991
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Bert Tucker
Bert Tucker was the son of famed American vaudeville and jazz singer Sophie Tucker.
|
E508296
|
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: Bert Tucker | Statement: [Sophie Tucker, child, Bert Tucker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bert Tucker Context triple: [Sophie Tucker, child, Bert Tucker]
-
A.
Cliff Hagan
Cliff Hagan is an American Hall of Fame basketball player best known for his scoring prowess with the St. Louis Hawks and later as a player-coach in the ABA.
-
B.
Jack Bicknell
Jack Bicknell is an American football coach best known for leading Boston College to national prominence in the 1980s, including the famed Doug Flutie era and the 1984 Cotton Bowl victory.
-
C.
Lloyd Hubler
Lloyd Hubler is a cinematographer best known for his work on the animated film "Megamind."
-
D.
Bill Truitt
Bill Truitt is a central character in the dark comedy film "The Opposite of Sex," serving as a mild-mannered teacher whose life is upended by the manipulative actions of his teenage half-sister.
-
E.
Terry Tumey
Terry Tumey is an American college athletics administrator and former UCLA football player and NFL defensive lineman who serves as the athletic director at Fresno State.
- 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: Bert Tucker Triple: [Sophie Tucker, child, Bert Tucker]
Generated description
Bert Tucker was the son of famed American vaudeville and jazz singer Sophie Tucker.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bert Tucker Target entity description: Bert Tucker was the son of famed American vaudeville and jazz singer Sophie Tucker.
-
A.
Cliff Hagan
Cliff Hagan is an American Hall of Fame basketball player best known for his scoring prowess with the St. Louis Hawks and later as a player-coach in the ABA.
-
B.
Jack Bicknell
Jack Bicknell is an American football coach best known for leading Boston College to national prominence in the 1980s, including the famed Doug Flutie era and the 1984 Cotton Bowl victory.
-
C.
Lloyd Hubler
Lloyd Hubler is a cinematographer best known for his work on the animated film "Megamind."
-
D.
Bill Truitt
Bill Truitt is a central character in the dark comedy film "The Opposite of Sex," serving as a mild-mannered teacher whose life is upended by the manipulative actions of his teenage half-sister.
-
E.
Terry Tumey
Terry Tumey is an American college athletics administrator and former UCLA football player and NFL defensive lineman who serves as the athletic director at Fresno State.
- 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_69bd4466fb8c819083b806a79414d7e4 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7adc9be081909903b9f844c3d146 |
completed | March 20, 2026, 4:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf06b46eac81908b985363733fcd63 |
completed | March 21, 2026, 8:59 p.m. |
| NEDg | Description generation | batch_69bf091d9d008190ad409fe11a82498a |
completed | March 21, 2026, 9:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf096cbed88190bfb8ef2600187609 |
completed | March 21, 2026, 9:11 p.m. |
Created at: March 20, 2026, 1:48 p.m.