Triple

T8319256
Position Surface form Disambiguated ID Type / Status
Subject Horns (film) E194786 entity
Predicate basedOn P98 FINISHED
Object Horns E194786 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: Horns | Statement: [Horns (film), basedOn, Horns]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Horns
Context triple: [Horns (film), basedOn, Horns]
  • A. Horns chosen
    Horns is a dark fantasy-horror novel by Joe Hill that follows a man who mysteriously grows devilish horns and gains disturbing supernatural powers after being accused of his girlfriend’s murder.
  • B. Horn
    Horn is a surname most prominently associated with English music producer and musician Trevor Horn, known for his influential work in pop and rock music.
  • C. The Horns
    The Horns are a distinctive set of rugged mountain peaks located within South Africa’s Cathedral Peak Nature Reserve in the Drakensberg range.
  • D. Gjallarhorn
    Gjallarhorn is the resounding horn of the god Heimdall in Norse mythology, famously used to signal the onset of Ragnarök.
  • E. Hornblow
    Hornblow is a surname most notably associated with Arthur Hornblow Jr., an American film producer active during Hollywood's classic era.
  • 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_69ca82e7a8a88190a32bb5cc0feb012d completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f648e10819081ad1fed870b2b86 completed March 31, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc6f629a0819081635763192903d8 completed April 2, 2026, 1:31 a.m.
Created at: March 30, 2026, 5:55 p.m.