Triple
T25996708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emile Griffith vs Benny Paret III |
E646504
|
entity |
| Predicate | timeBetweenFightAndParetDeath |
P29921
|
FINISHED |
| Object | 10 days |
—
|
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: 10 days | Statement: [Emile Griffith vs Benny Paret III, timeBetweenFightAndParetDeath, 10 days]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeBetweenFightAndParetDeath Context triple: [Emile Griffith vs Benny Paret III, timeBetweenFightAndParetDeath, 10 days]
-
A.
timeBeforeDeath
Indicates that the associated time value occurs prior to an entity’s death or moment of dying.
-
B.
timeBetweenInjuryAndDeath
chosen
Indicates the duration of time that elapses between when an injury occurs and when death subsequently happens.
-
C.
timeOfDeath
Indicates the specific time at which an entity (typically a person or organism) died.
-
D.
timeSinceSubjectDeath
Indicates the amount of time that has elapsed since the subject died.
-
E.
battleDuration
Indicates the length of time for which a particular battle or combat event lasts.
- 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_69e77e88cb8481908da31d4a00661f55 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6056f481c81909fd23b04483b76a0 |
completed | May 2, 2026, 2:08 p.m. |
| PD | Predicate disambiguation | batch_69f4a10480748190a2e67bd399fc435d |
completed | May 1, 2026, 12:48 p.m. |
Created at: April 22, 2026, 8:58 a.m.