Triple

T11434995
Position Surface form Disambiguated ID Type / Status
Subject Pietro Amato E270981 entity
Predicate instrument P792 FINISHED
Object French horn E357341 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: French horn | Statement: [Pietro Amato, instrument, French horn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: French horn
Context triple: [Pietro Amato, instrument, French horn]
  • A. French horn chosen
    The French horn is a brass musical instrument known for its wide range and rich, mellow tone, commonly used in orchestras, film scores, and classical ensembles.
  • B. English horn
    The English horn is a double-reed woodwind instrument, lower in pitch than the oboe, known for its rich, melancholic tone often featured in orchestral and solo repertoire.
  • C. 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.
  • D. Oboe
    Oboe was a World War II British radio navigation system that enabled highly accurate target marking and bombing by Allied aircraft.
  • E. Trumpets
    "Trumpets" is a pop-influenced song by American singer-songwriter and producer Jon Bellion, known for its catchy melody and inventive production.
  • 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_69d6aadeef688190874bcecd88b3dd9b completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d806c485f481909dd3d9b0993f3faf completed April 9, 2026, 8:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d379f8d48190860a1ef98505c42e completed April 20, 2026, 7:19 a.m.
Created at: April 8, 2026, 9:35 p.m.