Triple

T24022582
Position Surface form Disambiguated ID Type / Status
Subject Darren Star Productions E594864 entity
Predicate basedOnCreatorReputation P152713 FINISHED
Object Darren Star 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: Darren Star | Statement: [Darren Star Productions, basedOnCreatorReputation, Darren Star]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: basedOnCreatorReputation
Context triple: [Darren Star Productions, basedOnCreatorReputation, Darren Star]
  • A. hasCreatorReputationFor chosen
    Indicates that an entity is recognized as having a particular level or type of reputation specifically in its role as a creator, as perceived or attributed by another party or context.
  • B. tributeAssessmentReputation
    Indicates the evaluation of an entity’s reputation specifically in the context of determining or justifying a tribute assessment.
  • C. haveReputation
    Indicates that an entity is recognized or regarded in a certain way by others, reflecting its perceived character, quality, or status.
  • D. basedOnCreatorBackground
    Indicates that something is determined, influenced, or derived from the background or personal history of its creator.
  • E. scoringReputation
    Indicates that one entity evaluates and assigns a reputation-related score to another entity based on its behavior or performance.
  • 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_69e288be2c288190a3a46006945557f7 completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1d7667ff08190bfd14aa4eb776f21 completed April 29, 2026, 10:03 a.m.
PD Predicate disambiguation batch_69f17639d23c8190bed93434e2f9230a completed April 29, 2026, 3:08 a.m.
Created at: April 17, 2026, 9:52 p.m.