Triple
T33504914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arturo Gatti |
E858085
|
entity |
| Predicate | numberOfBoutsInTrilogyWithMickyWard |
P169507
|
FINISHED |
| Object | 3 |
—
|
LITERAL 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: 3 | Statement: [Arturo Gatti, numberOfBoutsInTrilogyWithMickyWard, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfBoutsInTrilogyWithMickyWard Context triple: [Arturo Gatti, numberOfBoutsInTrilogyWithMickyWard, 3]
-
A.
numberOfBouts
chosen
Indicates the count of distinct bouts or separate occurrences of a repeated action or event associated with an entity.
-
B.
numberOfBoutsWithWilliePep
Indicates the total count of separate bouts or matches that an entity has had against Willie Pep.
-
C.
numberOfSuperfights
Indicates the count of high-profile or special fights associated with an entity.
-
D.
numberOfBoutsWithEmileGriffith
Indicates the count of separate bouts or matches an entity has had against Emile Griffith.
-
E.
thirdFightRounds
Indicates the number of rounds that occurred in the third fight of a series or sequence of fights.
- F. None of above.
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_69f3497660508190a541826a81f7e9ab |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a0324c2d618819093f7e6424b0f5baf |
completed | May 12, 2026, 1:01 p.m. |
| PD | Predicate disambiguation | batch_6a0324292e588190b37d0c3016ea2062 |
completed | May 12, 2026, 12:59 p.m. |
Created at: May 1, 2026, 1:38 a.m.