Triple
T33504797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Micky Ward |
E858083
|
entity |
| Predicate | seriesOfFightsWith |
P156243
|
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: [Micky Ward, seriesOfFightsWith, Arturo Gatti]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesOfFightsWith Context triple: [Micky Ward, seriesOfFightsWith, Arturo Gatti]
-
A.
notableFightSeries
chosen
Indicates that there is a recurring or thematically linked series of fights or battles associated with the subject.
-
B.
laterFightsFor
Indicates that one entity fights on behalf of or in support of another entity at a later time than some referenced point or event.
-
C.
numberOfSuperfights
Indicates the count of high-profile or special fights associated with an entity.
-
D.
roundsFought
Indicates the number of rounds in which the related entities have engaged in a fight or combat.
-
E.
fightsUsing
Indicates that one entity engages in combat or conflict by employing another entity as its weapon, tool, or method of fighting.
- 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_69fce7671f108190bf3ebf54339068b5 |
completed | May 7, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69fce5b5a84c81908ac1b5b9f08d48d0 |
completed | May 7, 2026, 7:19 p.m. |
Created at: May 1, 2026, 1:38 a.m.