Triple

T16098345
Position Surface form Disambiguated ID Type / Status
Subject CHiPs E390544 entity
Predicate inspiredFilm P41844 FINISHED
Object CHiPs (2017 film) E367462 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: CHiPs (2017 film) | Statement: [CHiPs, inspiredFilm, CHiPs (2017 film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CHiPs (2017 film)
Context triple: [CHiPs, inspiredFilm, CHiPs (2017 film)]
  • A. CHiPs (2017 film) chosen
    CHiPs (2017 film) is a 2017 action-comedy movie written, directed by, and starring Dax Shepard, loosely based on the 1970s–80s television series about California Highway Patrol officers.
  • B. CHiPs
    CHiPs is an American television drama series from the late 1970s and early 1980s that follows the adventures of two motorcycle officers of the California Highway Patrol.
  • C. Cops
    Cops is a long-running American reality television series that follows police officers on duty as they respond to real-life incidents and arrests.
  • D. Tales from the Gangster Squad
    Tales from the Gangster Squad is a non-fiction book by Paul Lieberman that chronicles the real-life LAPD unit formed in the 1940s to combat organized crime in Los Angeles.
  • E. One Good Cop
    One Good Cop is a 1991 crime drama film starring Michael Keaton as a New York City detective who must balance his dangerous job with caring for his late partner’s three young daughters.
  • 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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1ff6551a48190afb7e0c61e22b541 completed April 17, 2026, 9:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeb9b3e708190be822f7ed588c9da completed May 10, 2026, 2:21 a.m.
Created at: April 10, 2026, 4:59 a.m.