Triple
T21911393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marvin Hagler vs. Thomas Hearns |
E541070
|
entity |
| Predicate | roundsFought |
P145604
|
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: [Marvin Hagler vs. Thomas Hearns, roundsFought, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roundsFought Context triple: [Marvin Hagler vs. Thomas Hearns, roundsFought, 3]
-
A.
totalFights
Indicates the total number of fights that have occurred involving the specified entities or within the specified context.
-
B.
numberOfProfessionalFights
Indicates the total count of professional-level fights associated with an entity (such as a person or competitor).
-
C.
numberOfFightsWithMannyPacquiao
Indicates the count of distinct fights an entity has had against Manny Pacquiao.
-
D.
numberOfFightsWithArturoGatti
Indicates the number of separate fights an entity has had against Arturo Gatti.
-
E.
numberOfFightsWithSugarRayRobinson
Indicates the number of times an entity has fought in matches against Sugar Ray Robinson.
- F. None of above. chosen
Provenance (4 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_69e0c47c4b9c8190a5586a75f5f36453 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f121da36e88190b42b82641ec54a19 |
completed | April 28, 2026, 9:08 p.m. |
| PD | Predicate disambiguation | batch_69e6be9ebf4c8190892df1a8e1313f88 |
completed | April 21, 2026, 12:02 a.m. |
| PDg | Predicate description generation | batch_69e6c187bc548190b4ca13150f6bae38 |
completed | April 21, 2026, 12:15 a.m. |
Created at: April 16, 2026, 7:41 p.m.