Triple
T9790122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bleed for This |
E237584
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Lou Duva |
E548574
|
NE FINISHED |
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: Lou Duva | Statement: [Bleed for This, character, Lou Duva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lou Duva Context triple: [Bleed for This, character, Lou Duva]
-
A.
Lou Duva
chosen
Lou Duva was a renowned American boxing trainer and manager known for guiding multiple world champions and being inducted into the International Boxing Hall of Fame.
-
B.
Don Peterman
Don Peterman was an American cinematographer known for his work on major Hollywood films across several decades, including comedies, dramas, and visual-effects-heavy productions.
-
C.
Angelo Dundee
Angelo Dundee was a legendary American boxing trainer best known for working with champions like Muhammad Ali and Sugar Ray Leonard.
-
D.
Cus D'Amato
Cus D'Amato was a legendary American boxing trainer and manager known for developing champions like Mike Tyson and Floyd Patterson and for his innovative peek-a-boo fighting style.
-
E.
Harold Gleason
Harold Gleason was an American organist, musicologist, and influential pedagogue best known for his widely used organ method and contributions to organ literature and education.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca84dc04488190b9c91193976c0960 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda215b3108190a897552e1dc91cc4 |
completed | April 1, 2026, 10:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1c42c9fe081908145911cad6723c2 |
completed | April 5, 2026, 2:08 a.m. |
Created at: March 30, 2026, 8:28 p.m.