Triple
T30102710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ken Norton vs. Muhammad Ali II |
E765040
|
entity |
| Predicate | fighter1Name |
P171068
|
FINISHED |
| Object | Muhammad Ali |
—
|
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: Muhammad Ali | Statement: [Ken Norton vs. Muhammad Ali II, fighter1Name, Muhammad Ali]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fighter1Name Context triple: [Ken Norton vs. Muhammad Ali II, fighter1Name, Muhammad Ali]
-
A.
fighter1
Indicates that the subject is the first participant or primary combatant in a fight or competitive physical confrontation.
-
B.
fighter1Nickname
Indicates that one entity is the nickname used by or associated with the first fighter in a fighting matchup or event.
-
C.
fighter2FullName
Indicates the full name of the second fighter involved in a fighting-related relationship or event.
-
D.
fighter1Nationality
Indicates the national origin or citizenship of the first fighter in a matchup or comparison.
-
E.
fighter1Role
Indicates the specific role or function that the first fighter assumes within a combat or competitive context.
- 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_69f698ad83a08190a6834056ccc3e3a4 |
completed | May 3, 2026, 12:37 a.m. |
| PD | Predicate disambiguation | batch_69f69664142c8190bc695501056b0236 |
completed | May 3, 2026, 12:27 a.m. |
| PDg | Predicate description generation | batch_69f697e92e2c8190bed50d5ba0981b64 |
completed | May 3, 2026, 12:33 a.m. |
Created at: April 29, 2026, 7:08 p.m.