Triple

T4890287
Position Surface form Disambiguated ID Type / Status
Subject The Cowboys E109540 entity
Predicate character P662 FINISHED
Object Jebediah Nightlinger E76508 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: Jebediah Nightlinger | Statement: [The Cowboys, character, Jebediah Nightlinger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jebediah Nightlinger
Context triple: [The Cowboys, character, Jebediah Nightlinger]
  • A. Jedediah chosen
    Jedediah is a miniature cowboy figure who comes to life and provides comic relief and adventurous chaos in the "Night at the Museum" film series.
  • B. Jesse Vint
    Jesse Vint is an American actor best known for his roles in 1970s and 1980s science fiction and exploitation films, including the cult classic "Silent Running."
  • C. Jeremiah Biggs
    Jeremiah Biggs is the son of Reverend Henry Biggs, a clergyman known in his community for his religious leadership.
  • D. Jeremiah Day
    Jeremiah Day was an American academic who served as the long-time president of Yale College in the early 19th century.
  • E. Enoch Snow
    Enoch Snow is a central character in the Rodgers and Hammerstein musical "Carousel," portrayed as an ambitious fisherman with strong moral values and comic earnestness.
  • 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_69bd440f71348190b99938e59fb7f9a1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e07ca10819083f80f12374544b1 completed March 20, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69be681a3d7881908120dc642af3f58a completed March 21, 2026, 9:42 a.m.
Created at: March 20, 2026, 1:28 p.m.