Triple
T22092529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grease Live |
E545944
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Jim Jacobs |
—
|
NE NERFINISHED |
How this triple was built (2 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: Jim Jacobs | Statement: [Grease Live, musicBy, Jim Jacobs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jim Jacobs Context triple: [Grease Live, musicBy, Jim Jacobs]
-
A.
Jim Jacobs
Jim Jacobs was an American boxing manager and handball champion best known for managing heavyweight champion Mike Tyson during the early part of his professional career.
-
B.
Jim Jacobs
chosen
Jim Jacobs is an American musical theatre composer, lyricist, and writer best known as the co-creator of the hit musical "Grease."
-
C.
Lou Jacobi
Lou Jacobi was a Canadian-born character actor known for his comedic roles in film, television, and theater, particularly in mid-20th-century Hollywood and Broadway productions.
-
D.
Al Jacobs
Al Jacobs was an American songwriter best known for co-writing popular mid-20th-century hits such as the song "I Need You Now."
-
E.
Michael Lieber
Michael Lieber is a relatively obscure individual whose specific public notability is not clearly established from the given information.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e36d03c8190a83a1ba802b7231b |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128e6b1d881909bf0f4a52199354c |
completed | April 28, 2026, 9:38 p.m. |
Created at: April 16, 2026, 8:29 p.m.