Triple

T20409348
Position Surface form Disambiguated ID Type / Status
Subject Another Time, Another Place E500548 entity
Predicate track P17929 FINISHED
Object The ‘In’ Crowd 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: The ‘In’ Crowd | Statement: [Another Time, Another Place, track, The ‘In’ Crowd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The ‘In’ Crowd
Context triple: [Another Time, Another Place, track, The ‘In’ Crowd]
  • A. The In Crowd
    The In Crowd is a 2000 teen thriller film about a troubled young woman who becomes entangled in the dangerous world of an elite country club social clique.
  • B. The In Crowd chosen
    "The In Crowd" is a jazz-influenced soul track best known from Ramsey Lewis’s 1965 hit version, often associated with its lively groove and crowd-pleasing energy.
  • C. There’s One in Every Crowd
    "There’s One in Every Crowd" is a 1975 studio album by English guitarist and singer Eric Clapton that blends rock, blues, and reggae influences.
  • D. The Crowds
    The Crowds is an English title for the 39th chapter of the Qur’an, which emphasizes sincere worship of God alone and contrasts the fates of believers and disbelievers.
  • E. The Girl in the Crowd
    The Girl in the Crowd is a stage production associated with British actor and playwright Frank Vosper.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4a935588190b9446a99b37ced44 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67a3e0c1c8190be39d7f09c839dfa completed April 20, 2026, 7:10 p.m.
Created at: April 16, 2026, 11:29 a.m.