Triple

T24204649
Position Surface form Disambiguated ID Type / Status
Subject Taz E600072 entity
Predicate commentaryEmployer P113851 FINISHED
Object World Wrestling Entertainment 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: World Wrestling Entertainment | Statement: [Taz, commentaryEmployer, World Wrestling Entertainment]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: commentaryEmployer
Context triple: [Taz, commentaryEmployer, World Wrestling Entertainment]
  • A. commentaryWorkFor chosen
    Indicates that one entity performs commentary or analysis work on behalf of, or under employment/contract with, another entity.
  • B. commentaryOn
    Indicates that one entity provides evaluative or explanatory remarks about another entity, such as a work, event, or statement.
  • C. commentaryFocus
    Indicates that an item of commentary is primarily directed toward or centered on a particular entity, topic, or aspect.
  • D. employerIn
    Indicates that one entity serves as the employer of another within a specified context, such as a location, organization, or time period.
  • E. employment
    Indicates a relationship where one entity hires, contracts, or otherwise engages another to perform work or services, typically in exchange for compensation.
  • 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_69e288ceaab88190899d0acb5931591d completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f27ca52cb881908c99913ea93bc88e completed April 29, 2026, 9:48 p.m.
PD Predicate disambiguation batch_69f1c43e55688190b55fc20274ed471c completed April 29, 2026, 8:41 a.m.
Created at: April 17, 2026, 11:37 p.m.