Triple

T6485970
Position Surface form Disambiguated ID Type / Status
Subject Nina Foch E146509 entity
Predicate notableWork P4 FINISHED
Object Young Man with a Horn E575360 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: Young Man with a Horn | Statement: [Nina Foch, notableWork, Young Man with a Horn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Young Man with a Horn
Context triple: [Nina Foch, notableWork, Young Man with a Horn]
  • A. Young Man with a Horn chosen
    Young Man with a Horn is a 1950 film noir–style musical drama about a troubled jazz trumpeter, loosely based on the life of cornetist Bix Beiderbecke.
  • B. Come Blow Your Horn
    Come Blow Your Horn is a 1963 American comedy film adaptation of Neil Simon’s play, starring Frank Sinatra and directed by Bud Yorkin.
  • C. Mannish Boy
    "Mannish Boy" is a classic Chicago blues song, best known through Muddy Waters' powerful electric recording and its enduring influence on rock and blues music.
  • D. The Old Man and His Horn
    The Old Man and His Horn is a country song written by Hal Bynum, known for its poignant storytelling about aging, memory, and the enduring power of music.
  • E. Sweet Music Man
    "Sweet Music Man" is a country ballad written and originally recorded by Kenny Rogers, known for its reflective lyrics about the struggles of a fading music star.
  • 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_69c0090158c08190af0df9a2348d2d52 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a706d4c8190b7a3cc8855abcecb completed March 22, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c653b4e91c81908dfa1798a057b21a completed March 27, 2026, 9:53 a.m.
Created at: March 22, 2026, 4:52 p.m.