Triple
T30719229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WWE Backlash 2023 |
E782105
|
entity |
| Predicate | celebrityParticipant |
P170066
|
FINISHED |
| Object | Bad Bunny |
—
|
NE NERFINISHED |
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: Bad Bunny | Statement: [WWE Backlash 2023, celebrityParticipant, Bad Bunny]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: celebrityParticipant Context triple: [WWE Backlash 2023, celebrityParticipant, Bad Bunny]
-
A.
celebrityMatch
Indicates a relationship where one entity is identified as a suitable or corresponding celebrity counterpart or pairing for another entity.
-
B.
notableStarName
Indicates that the subject is known by the specified star name as a notable or prominent designation.
-
C.
notableOnAirPersonality
Indicates that an entity is recognized as a prominent or distinguished on-air media personality associated with another entity (such as a show, station, or network).
-
D.
partOfCreativeCareerOf
Indicates that one entity represents a work, role, or activity that forms a component or phase within another entity’s overall creative career.
-
E.
James Pearson
Indicates a relationship or action involving the entity named "James Pearson" and another entity, event, or attribute, depending on context.
- 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_69f224acd24481908ed5f96f0d69b5dd |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f68c583438819093b812f11327eb60 |
completed | May 2, 2026, 11:44 p.m. |
| PD | Predicate disambiguation | batch_69f6861170d08190bb98be609d436f84 |
completed | May 2, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69f688034580819086a0f9100645f8ba |
completed | May 2, 2026, 11:25 p.m. |
Created at: April 29, 2026, 8:36 p.m.