Triple
T34815219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Moorer vs. George Foreman |
E1003611
|
entity |
| Predicate | postFightImpactOnMoorer |
P181513
|
FINISHED |
| Object | Moorer lost his first professional fight |
—
|
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: Moorer lost his first professional fight | Statement: [Michael Moorer vs. George Foreman, postFightImpactOnMoorer, Moorer lost his first professional fight]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: postFightImpactOnMoorer Context triple: [Michael Moorer vs. George Foreman, postFightImpactOnMoorer, Moorer lost his first professional fight]
-
A.
impactOnForeman
Indicates a relationship where an action, event, or condition produces an effect or consequence on the foreman.
-
B.
foughtAfter
Indicates that one entity engaged in a fight or battle after another entity had already fought.
-
C.
impactOnField
Indicates the effect or influence that one entity, action, or development has on a particular field or domain.
-
D.
forceAttacked
Indicates that one entity carried out an attack against another entity using force or coercive power.
-
E.
impactOutcome
Indicates that one entity produces an effect or influence that changes the result, consequence, or final state of another entity or situation.
- 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_69f76db717088190811b4e744610f37d |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77ab8abd08190a7f001927cc76a8d |
completed | May 3, 2026, 4:41 p.m. |
| PD | Predicate disambiguation | batch_69f7795b1abc8190823664d1caa94649 |
completed | May 3, 2026, 4:35 p.m. |
| PDg | Predicate description generation | batch_69f77a39135081908ae22d2a23b44e74 |
completed | May 3, 2026, 4:39 p.m. |
Created at: May 3, 2026, 3:59 p.m.