Triple
T10260962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muhammad Ali vs Sonny Liston fight |
E240591
|
entity |
| Predicate | MuhammadAliAge |
P93130
|
FINISHED |
| Object | 22 |
—
|
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: 22 | Statement: [Muhammad Ali vs Sonny Liston fight, MuhammadAliAge, 22]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MuhammadAliAge Context triple: [Muhammad Ali vs Sonny Liston fight, MuhammadAliAge, 22]
-
A.
ageDifferenceWithMuhammad
Indicates the age difference between a given person and Muhammad.
-
B.
purseMuhammadAli
Indicates the amount of prize money or financial compensation associated with Muhammad Ali in a particular bout or contractual context.
-
C.
ageGeorgeForeman
Indicates that the specified value is the age of George Foreman.
-
D.
becameOldestHeavyweightChampion
Indicates that an entity achieved the status of being the oldest person ever to hold the heavyweight champion title.
-
E.
approximateAgeAtDeath
Indicates the estimated age a person or entity was when they died, typically used when the exact age is unknown.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2b5853081909cd0397e08a0f44d |
completed | April 7, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69d4d1edae6881909a65201b8e51ea0a |
completed | April 7, 2026, 9:44 a.m. |
| PDg | Predicate description generation | batch_69d4d2b4ae548190b4a4c671f86b82d1 |
completed | April 7, 2026, 9:47 a.m. |
Created at: April 6, 2026, 11:32 a.m.