Triple

T18875885
Position Surface form Disambiguated ID Type / Status
Subject Nick Wells E461683 entity
Predicate collaboratesWith P37 FINISHED
Object Jack Teller 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: Jack Teller | Statement: [Nick Wells, collaboratesWith, Jack Teller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jack Teller
Context triple: [Nick Wells, collaboratesWith, Jack Teller]
  • A. Jack Teller chosen
    Jack Teller is the professional safecracker and central protagonist of the 2001 heist film "The Score," portrayed by Edward Norton.
  • B. Court Gentry
    Court Gentry is a highly skilled, enigmatic former CIA operative turned freelance assassin who stars as the titular covert agent in Mark Greaney’s Gray Man thriller series.
  • C. Ace Harper
    Ace Harper is an American singer, dancer, and fashion designer known for her work in music and performance art as well as her marriage to rock drummer Matt Sorum.
  • D. Chris Parker
    Chris Parker is a video game developer and producer best known as one of the founders of the role-playing game studio Obsidian Entertainment.
  • E. Chris Parker
    Chris Parker is the resourceful teenage babysitter protagonist of the 1987 comedy film "Adventures in Babysitting," who embarks on a chaotic night of urban misadventures while trying to protect the kids in her care.
  • 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_69d8dcfc3430819095ee6fc0eb4c06a5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c3ce07788190a179705eb1b6c824 completed April 20, 2026, 6:12 a.m.
Created at: April 10, 2026, 11:57 a.m.