Triple

T15600528
Position Surface form Disambiguated ID Type / Status
Subject John Carpenter E375016 entity
Predicate composedMusicFor P1142 FINISHED
Object Halloween E1167362 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: Halloween | Statement: [John Carpenter, composedMusicFor, Halloween]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Halloween
Context triple: [John Carpenter, composedMusicFor, Halloween]
  • A. Halloween
    Halloween is an annual celebration observed on October 31, characterized by costumes, trick-or-treating, spooky decorations, and themes of the supernatural and the macabre.
  • B. Halloween chosen
    Halloween is a 1978 American slasher film directed by John Carpenter that helped define the horror genre and introduced the iconic character Michael Myers.
  • C. Trick or Treat
    "Trick or Treat" is a 1986 horror-comedy film about a heavy metal-obsessed teenager who unwittingly resurrects a dead rock star through a cursed record, directed by Charles Martin Smith.
  • D. One Halloween
    "One Halloween" is a song featured on the musical theatre album *Applause*.
  • E. Trick 'r Treat
    Trick 'r Treat is a 2007 anthology horror film that interweaves multiple Halloween-themed stories and has become a cult favorite for its darkly comedic tone and inventive storytelling.
  • 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_69d85cce25008190b13b52745fbd719b completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e621fc4819097e8e85e7ddfdc6c completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff678821a481908378db1ffc76ba05 completed May 9, 2026, 4:57 p.m.
Created at: April 10, 2026, 4:12 a.m.