Triple

T13720199
Position Surface form Disambiguated ID Type / Status
Subject Jake Schreier E329009 entity
Predicate notableWork P4 FINISHED
Object Robot & Frank E369893 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: Robot & Frank | Statement: [Jake Schreier, notableWork, Robot & Frank]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robot & Frank
Context triple: [Jake Schreier, notableWork, Robot & Frank]
  • A. Robot & Frank chosen
    Robot & Frank is a 2012 science-fiction comedy-drama film about an aging ex-jewel thief who forms an unlikely bond with a domestic robot programmed to help him.
  • B. The Driver
    The Driver is the laconic, unnamed street racer portrayed by James Taylor in the 1971 cult road movie "Two-Lane Blacktop."
  • C. The Driver
    The Driver is a 1978 neo-noir crime thriller film written and directed by Walter Hill, centered on a taciturn, highly skilled getaway driver involved in a tense cat-and-mouse game with a relentless detective.
  • D. Baby Driver
    Baby Driver is a stylish 2017 action-crime film directed by Edgar Wright that follows a young getaway driver who choreographs his heists to a meticulously curated soundtrack.
  • E. The Old Man and the Gun
    The Old Man and the Gun is a 2018 crime-comedy film, inspired by a true story, about an aging bank robber whose charming, gentlemanly heists draw the attention of both law enforcement and the public.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dd439a121c81908cae964e7756274c completed April 13, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7a84a2ed481909005720b0531e585 completed May 3, 2026, 7:55 p.m.
Created at: April 9, 2026, 9:55 p.m.