Triple
T11929809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muhammad Ali vs. Joe Frazier trilogy |
E283880
|
entity |
| Predicate | totalFrazierWins |
P102210
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Muhammad Ali vs. Joe Frazier trilogy, totalFrazierWins, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalFrazierWins Context triple: [Muhammad Ali vs. Joe Frazier trilogy, totalFrazierWins, 1]
-
A.
fightNumberForFrazier
Indicates the specific fight number or sequence position of a bout involving Frazier within a series of fights.
-
B.
totalFights
Indicates the total number of fights that have occurred involving the specified entities or within the specified context.
-
C.
mostGamesWonBy
Indicates that one entity holds the record for having won the greatest number of games compared to others in a given context.
-
D.
numberOfGamesInFinals
Indicates the total count of games played in the finals stage of a competition or series.
-
E.
numberOfFightsWithSugarRayRobinson
Indicates the number of times an entity has fought in matches against Sugar Ray Robinson.
- 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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90303a9a88190a4044e6310ba9b4b |
completed | April 10, 2026, 2:02 p.m. |
| PD | Predicate disambiguation | batch_69d8bb3af0188190bfb22be5c97b3349 |
completed | April 10, 2026, 8:56 a.m. |
| PDg | Predicate description generation | batch_69d8d399d58c81908dab572aa82426d7 |
completed | April 10, 2026, 10:40 a.m. |
Created at: April 8, 2026, 9:45 p.m.