Triple
T24223851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gerrie Coetzee |
E601535
|
entity |
| Predicate | foughtForWorldTitleAgainst |
P138948
|
FINISHED |
| Object | John Tate |
—
|
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: John Tate | Statement: [Gerrie Coetzee, foughtForWorldTitleAgainst, John Tate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foughtForWorldTitleAgainst Context triple: [Gerrie Coetzee, foughtForWorldTitleAgainst, John Tate]
-
A.
challengedForTitleAgainst
chosen
Indicates that one entity competed against another in a contest or match specifically for a title or championship.
-
B.
wonChampionshipAgainst
Indicates that one competitor secured a championship title by defeating another specific opponent.
-
C.
hasFoughtForTitle
Indicates that an entity has participated in a contest or event specifically for a championship or title.
-
D.
isWorldChampionshipFight
Indicates that a given fight is officially recognized as a world championship bout for a title in its sport.
-
E.
facedOpponent
Indicates that one entity directly confronted or competed against another as an opponent in a contest, conflict, or challenge.
- 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_69e29537ca548190b94a37ebe1977caf |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f287ddfecc81909f5396857974bc8c |
completed | April 29, 2026, 10:36 p.m. |
| PD | Predicate disambiguation | batch_69f1c448abec8190b87cbf9ed419a309 |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, midnight