Triple
T22197001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lou Duva |
E548574
|
entity |
| Predicate | trained |
P3665
|
FINISHED |
| Object | Arturo Gatti |
—
|
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: Arturo Gatti | Statement: [Lou Duva, trained, Arturo Gatti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arturo Gatti Context triple: [Lou Duva, trained, Arturo Gatti]
-
A.
Arturo Gatti
chosen
Arturo Gatti was a Canadian-Italian professional boxer famed for his all-action style, dramatic comebacks, and a legendary trilogy of bouts with Micky Ward.
-
B.
Paolo Carnera
Paolo Carnera is an Italian cinematographer known for his visually striking work on international films and television series, including the adaptation of "The White Tiger."
-
C.
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.
-
D.
Mario Morra
Mario Morra is an Italian film editor best known for his work on acclaimed films such as "Cinema Paradiso."
-
E.
Armand Marciano
Armand Marciano is a fashion entrepreneur best known as a co-founder of the clothing brand Guess.
- 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_69e11e3ecc7c8190b5f94cd8f42e9d37 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12ae7c72081909b7817d66391bef4 |
completed | April 28, 2026, 9:47 p.m. |
Created at: April 16, 2026, 8:35 p.m.