Triple

T17866081
Position Surface form Disambiguated ID Type / Status
Subject Camilla Horn E446706 entity
Predicate familyName P18 FINISHED
Object Horn NE NERFINISHED

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: Horn | Statement: [Camilla Horn, familyName, Horn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Horn
Context triple: [Camilla Horn, familyName, Horn]
  • A. Horn chosen
    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.
  • B. Horns
    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.
  • C. Boss Horn
    "Boss Horn" is a 1966 hard bop jazz album by trumpeter Blue Mitchell, noted for its soulful compositions and strong ensemble arrangements.
  • D. Kornhorn
    Kornhorn is a small village in the Dutch province of Groningen, known as part of the rural municipality of Grootegast.
  • E. Balmhorn
    Balmhorn is a prominent mountain in the Bernese Alps of Switzerland, known for its glaciated slopes and classic alpine climbing routes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f4c22c819093c2680434472894 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49793a2588190bb341ac606d767fe completed April 19, 2026, 8:51 a.m.
Created at: April 10, 2026, 10:17 a.m.