Triple

T8786153
Position Surface form Disambiguated ID Type / Status
Subject In Your Eyes E209046 entity
Predicate followedBySingle P134 FINISHED
Object Big Time E209054 NE 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: Big Time | Statement: [In Your Eyes, followedBySingle, Big Time]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Big Time
Context triple: [In Your Eyes, followedBySingle, Big Time]
  • A. Big Time chosen
    "Big Time" is a 1986 funk-influenced art rock song by Peter Gabriel that satirically explores consumerism, ambition, and the excesses of 1980s culture.
  • B. The Big Time
    The Big Time is a 2002 Croatian comedy film directed by Milan Trenc that satirizes the world of television and media ambition.
  • C. What a Time
    "What a Time" is a melancholic pop song by Julia Michaels, featuring Niall Horan, that reflects on the bittersweet memories of a past relationship.
  • D. Something Big
    "Something Big" is a song featured on the country music album "Hard Promises" by Tom Petty and the Heartbreakers.
  • E. Make It Big
    Make It Big is a stand-up comedy special by South African comedian Riaad Moosa, showcasing his observational humor and cultural commentary.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca836168108190bb43d3dc235c1f55 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f758d348190804942d985f2337c completed March 31, 2026, 11:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf890077a881908ebddefc36b978d1 completed April 3, 2026, 9:31 a.m.
Created at: March 30, 2026, 6:42 p.m.