Triple
T24766439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manny Pacquiao vs. Oscar De La Hoya |
E619594
|
entity |
| Predicate | impactOnPacquiao |
P145803
|
FINISHED |
| Object | cemented Pacquiao as a global boxing star |
—
|
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: cemented Pacquiao as a global boxing star | Statement: [Manny Pacquiao vs. Oscar De La Hoya, impactOnPacquiao, cemented Pacquiao as a global boxing star]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impactOnPacquiao Context triple: [Manny Pacquiao vs. Oscar De La Hoya, impactOnPacquiao, cemented Pacquiao as a global boxing star]
-
A.
impactOnLeader
Indicates that one entity has an effect, influence, or consequence on a leader within a given context.
-
B.
impactOnField
Indicates the effect or influence that one entity, action, or development has on a particular field or domain.
-
C.
impactOnMonarch
Indicates a relationship where an action, event, or condition produces an effect or consequence on a monarch.
-
D.
impactOnTrade
Indicates a relationship where one entity causes or contributes to a change in the trade activities, volume, or conditions affecting another entity.
-
E.
impactOfNotableEvent
chosen
Indicates the causal influence or consequences that a specific notable event has on an entity, situation, or outcome.
- 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_69e2fabbea94819092ed41348909622f |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f453035f508190be83a3d521723acf |
completed | May 1, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f44d6ef33081908f5d36ba1ae5f473 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 4:28 a.m.