Triple
T2594423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evander Holyfield vs. George Foreman |
E58194
|
entity |
| Predicate | purseGeorgeForeman |
P40104
|
FINISHED |
| Object | 12500000 USD |
—
|
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: 12500000 USD | Statement: [Evander Holyfield vs. George Foreman, purseGeorgeForeman, 12500000 USD]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: purseGeorgeForeman Context triple: [Evander Holyfield vs. George Foreman, purseGeorgeForeman, 12500000 USD]
-
A.
purse
Indicates attempting to influence or persuade someone to adopt a particular course of action, belief, or decision.
-
B.
frontHeldBy
Indicates that the front side or leading part of an object is being physically supported or grasped by another entity.
-
C.
PSE
Indicates a relationship where one entity is engaged in or associated with a public service or public sector employment role relative to another entity or context.
-
D.
noseGearFeature
Indicates that there is a specific characteristic, component, or design attribute associated with the nose landing gear of an aircraft.
-
E.
parentBrand
Indicates that one brand is the overarching or owning brand from which another brand is derived or subordinated.
- 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_69ab4ac14040819098b13f4a27d5c8ff |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd427f58c8190af1c1a9724158c96 |
completed | March 7, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_69abd0d344988190a18dd93b13e002e6 |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd2baee308190bdaa41ef1f6bc9cc |
completed | March 7, 2026, 7:24 a.m. |
Created at: March 6, 2026, 9:49 p.m.