Triple
T12840325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Foreman |
E307030
|
entity |
| Predicate | roleInTheRumbleInTheJungle |
P101800
|
FINISHED |
| Object | defending world heavyweight champion |
—
|
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: defending world heavyweight champion | Statement: [George Foreman, roleInTheRumbleInTheJungle, defending world heavyweight champion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInTheRumbleInTheJungle Context triple: [George Foreman, roleInTheRumbleInTheJungle, defending world heavyweight champion]
-
A.
roleInUFC
Indicates the specific capacity or position an entity holds within the context of the Ultimate Fighting Championship (UFC), such as fighter, referee, coach, or official.
-
B.
roleInGigantomachy
Indicates the specific part or function an entity played in the mythological conflict known as the Gigantomachy.
-
C.
roleInRockyIV
Indicates that one entity is the role or character portrayed by another entity in the movie "Rocky IV".
-
D.
featuredFighter
chosen
Indicates that a particular fighter is highlighted or prominently showcased in a given context or event.
-
E.
hasBoxerCharacter
Indicates that an entity includes or features a character who is a boxer.
- F. None of above.
Provenance (3 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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9714208f881908f7f8a921362909a |
completed | April 10, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69d96fa08cd481909a946046ba63809f |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:35 p.m.