Triple
T3020172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tommy Morrison |
E82434
|
entity |
| Predicate | boxingRecordSummary |
P44661
|
FINISHED |
| Object | 48 wins, 3 losses, 1 draw, 1 no contest |
—
|
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: 48 wins, 3 losses, 1 draw, 1 no contest | Statement: [Tommy Morrison, boxingRecordSummary, 48 wins, 3 losses, 1 draw, 1 no contest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: boxingRecordSummary Context triple: [Tommy Morrison, boxingRecordSummary, 48 wins, 3 losses, 1 draw, 1 no contest]
-
A.
formerBoxer
Indicates that a person previously worked or competed as a boxer but no longer does so.
-
B.
totalFights
Indicates the total number of fights that have occurred involving the specified entities or within the specified context.
-
C.
hasNotableBoxer
Indicates that an entity is associated with or characterized by a boxer who is considered notable or distinguished.
-
D.
professionalRecordKOs
Indicates the number of times an entity has won by knockout (KOs) in its professional record.
-
E.
isWorldChampionshipFight
Indicates that a given fight is officially recognized as a world championship bout for a title in its sport.
- 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_69ad8b1fb34081908c1b873e2b7273e1 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a940c048190bc46e2c8001db8c0 |
completed | March 8, 2026, 3:49 p.m. |
| PD | Predicate disambiguation | batch_69ad961c430c8190ac48f2e3c7e7c649 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97f6af3881909f4547967384114c |
completed | March 8, 2026, 3:38 p.m. |
Created at: March 8, 2026, 3 p.m.