Triple

T20221430
Position Surface form Disambiguated ID Type / Status
Subject Janina Gavankar E495262 entity
Predicate notableWork P4 FINISHED
Object Big Sky 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: Big Sky | Statement: [Janina Gavankar, notableWork, Big Sky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Big Sky
Context triple: [Janina Gavankar, notableWork, Big Sky]
  • A. Big Sky
    Big Sky is an NCAA Division I collegiate athletic conference primarily comprising universities in the western United States.
  • B. Big Sky chosen
    Big Sky is an American crime drama television series centered on private detectives investigating abductions and other dark mysteries in rural Montana.
  • C. Montana Sky
    "Montana Sky" is a song featured as a track on the album "The Album."
  • D. The Big Sky
    The Big Sky is a 1952 American Western adventure film directed by Howard Hawks, noted for its depiction of early 19th-century fur trappers and frontier exploration.
  • E. Montana Wildhack
    Montana Wildhack is a fictional actress who becomes the companion and mate of protagonist Billy Pilgrim during his captivity on the planet Tralfamadore in Kurt Vonnegut’s novel "Slaughterhouse-Five."
  • 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_69da626cff80819097b530718a7c98b6 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66fd610f881908fdd22b1f8bd2efc completed April 20, 2026, 6:26 p.m.
Created at: April 11, 2026, 11:39 p.m.