Triple
T30102756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muhammad Ali–Ken Norton boxing trilogy |
E765041
|
entity |
| Predicate | thirdFightState |
P180801
|
FINISHED |
| Object | New York |
—
|
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: New York | Statement: [Muhammad Ali–Ken Norton boxing trilogy, thirdFightState, New York]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thirdFightState Context triple: [Muhammad Ali–Ken Norton boxing trilogy, thirdFightState, New York]
-
A.
thirdFightCountry
Indicates the country where the third fight (in a sequence of fights or matches) takes place or is associated with.
-
B.
secondFight
Indicates that an entity engages in a second instance of a fight or combat interaction with another entity.
-
C.
thirdBoutSubtitle
Indicates the subtitle or descriptive text associated specifically with the third bout in a sequence of bouts or matches.
-
D.
thirdBoutResult
Indicates the outcome or result of the third bout in a sequence of competitive events or matches.
-
E.
firstFight
Indicates that the referenced event is the initial instance in which the involved entities engaged in a fight or combat with each other.
- 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_69f22474e4288190b5f895fe3974aa92 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f7516d5b4081908588a6feb541f355 |
completed | May 3, 2026, 1:45 p.m. |
| PD | Predicate disambiguation | batch_69f74d40ebb081909daf60623e38f41d |
completed | May 3, 2026, 1:27 p.m. |
| PDg | Predicate description generation | batch_69f7516c538481908c6e55cf76add098 |
completed | May 3, 2026, 1:45 p.m. |
Created at: April 29, 2026, 7:08 p.m.