Triple
T2882166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Foreman |
E59420
|
entity |
| Predicate | becameOldestHeavyweightChampion |
P42548
|
FINISHED |
| Object | 1994 |
—
|
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: 1994 | Statement: [George Foreman, becameOldestHeavyweightChampion, 1994]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: becameOldestHeavyweightChampion Context triple: [George Foreman, becameOldestHeavyweightChampion, 1994]
-
A.
wonChampionshipAgainst
Indicates that one competitor secured a championship title by defeating another specific opponent.
-
B.
notableFormerChampion
Indicates that an entity was once a champion of something and is recognized as particularly distinguished or prominent in that former champion role.
-
C.
defendingChampion
Indicates that an entity currently holds a title or championship and is defending it against challengers.
-
D.
championPreviousTitleYear
Indicates the year in which the current champion previously held the same title.
-
E.
championedBy
Indicates that an entity is actively supported, promoted, or advocated for by another entity.
- 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_69ab4ac739188190a112f42a5a69c951 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abe02aa5948190a2e0bd9168232bd5 |
completed | March 7, 2026, 8:22 a.m. |
| PD | Predicate disambiguation | batch_69abdd15cbf08190bf7fea5ea516848a |
completed | March 7, 2026, 8:08 a.m. |
| PDg | Predicate description generation | batch_69abdd96670c8190b727f9ac27dadf67 |
completed | March 7, 2026, 8:11 a.m. |
Created at: March 6, 2026, 10:03 p.m.