Triple

T8425632
Position Surface form Disambiguated ID Type / Status
Subject Showdown E198978 entity
Predicate temporalRelationToWork P4137 FINISHED
Object near the end of The E.N.D. 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: near the end of The E.N.D. | Statement: [Showdown, temporalRelationToWork, near the end of The E.N.D.]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: temporalRelationToWork
Context triple: [Showdown, temporalRelationToWork, near the end of The E.N.D.]
  • A. temporalRelation chosen
    Indicates a relationship that specifies how two events or states are positioned relative to each other in time (e.g., before, after, or overlapping).
  • B. workRelatedTo
    Indicates a relationship where one entity’s work, tasks, or professional activities are connected, associated, or relevant to those of another entity.
  • C. associatedWork
    Indicates that there exists a related or connected work (such as a publication, creative piece, or project) that is meaningfully linked to the subject.
  • D. hasRelationToOtherWork
    Indicates that one work bears a specified relationship (such as adaptation, sequel, reference, or influence) to another distinct work.
  • E. performedInWorkBy
    Indicates that an action or role was carried out within a specific work (e.g., a film, book, or composition) by a particular agent or contributor.
  • 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_69ca8313c99081909a5c6d83b91de5b3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb85a2871081908a4093838fc93b5a completed March 31, 2026, 8:28 a.m.
PD Predicate disambiguation batch_69cb70d7ea348190aafbf8ca02b7b7d5 completed March 31, 2026, 6:59 a.m.
Created at: March 30, 2026, 6:07 p.m.