Triple

T9565538
Position Surface form Disambiguated ID Type / Status
Subject First Reformed E230779 entity
Predicate productionCompany P490 FINISHED
Object Killer Films E98620 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: Killer Films | Statement: [First Reformed, productionCompany, Killer Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Killer Films
Context triple: [First Reformed, productionCompany, Killer Films]
  • A. Killer Films chosen
    Killer Films is an independent American film production company known for producing critically acclaimed, often unconventional and auteur-driven movies.
  • B. Killer
    Killer is the nickname of Harmon Killebrew, a Hall of Fame Major League Baseball slugger renowned for his prodigious home run power, primarily with the Minnesota Twins.
  • C. Killer
    Killer is the nickname of Doug Gilmour, a Hall of Fame Canadian ice hockey player renowned for his gritty two-way play and leadership in the NHL.
  • D. Killer
    "Killer" is a 1990 dance track by British producer Adamski, best known for its distinctive house beat and Seal's uncredited vocals, which became a major hit in the UK and Europe.
  • E. Indian Killer
    Indian Killer is a dark, literary crime novel by Sherman Alexie that explores themes of identity, racism, and violence through the story of a serial killer targeting white men in Seattle.
  • 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_69ca847f22188190a56e4a97625bef22 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd996c0a1081908a8356c454e60f74 completed April 1, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69d152abb0788190ab2e204d9a082ccf completed April 4, 2026, 6:04 p.m.
Created at: March 30, 2026, 8:04 p.m.