Triple
T34370610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giacobbe LaMotta |
E882141
|
entity |
| Predicate | numberOfFightsAgainstSugarRayRobinson |
P95627
|
FINISHED |
| Object | 6 |
—
|
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: 6 | Statement: [Giacobbe LaMotta, numberOfFightsAgainstSugarRayRobinson, 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfFightsAgainstSugarRayRobinson Context triple: [Giacobbe LaMotta, numberOfFightsAgainstSugarRayRobinson, 6]
-
A.
numberOfFightsWithSugarRayRobinson
chosen
Indicates the number of times an entity has fought in matches against Sugar Ray Robinson.
-
B.
numberOfFightsWithMannyPacquiao
Indicates the count of distinct fights an entity has had against Manny Pacquiao.
-
C.
numberOfFightsWithArturoGatti
Indicates the number of separate fights an entity has had against Arturo Gatti.
-
D.
numberOfBoutsWithEmileGriffith
Indicates the count of separate bouts or matches an entity has had against Emile Griffith.
-
E.
numberOfProfessionalFights
Indicates the total count of professional-level fights associated with an entity (such as a person or competitor).
- 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_69f349bf5d7481908dd5da4cbdf74047 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379fbe4a08190bfe65ebd141164e9 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:59 a.m.