Triple

T17170630
Position Surface form Disambiguated ID Type / Status
Subject The Barber's Song E416719 entity
Predicate associatedWork P922 FINISHED
Object Man of La Mancha E84488 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: Man of La Mancha | Statement: [The Barber's Song, associatedWork, Man of La Mancha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Man of La Mancha
Context triple: [The Barber's Song, associatedWork, Man of La Mancha]
  • A. Man of La Mancha chosen
    Man of La Mancha is a celebrated musical inspired by Miguel de Cervantes' Don Quixote, known for its imaginative storytelling and the iconic song "The Impossible Dream."
  • B. Amadeus
    Amadeus is a music producer known for his work on hip-hop projects such as the album "Crime Pays."
  • C. Amadeus
    Amadeus is the given name of Victor Amadeus II of Savoy, an early 18th-century ruler who became the first King of Sardinia and a significant European monarch.
  • D. Amadeus
    Amadeus is a critically acclaimed 1984 period drama film that portrays the life and music of Wolfgang Amadeus Mozart through the jealous eyes of his rival Antonio Salieri.
  • E. Amadeus
    Amadeus is a leading global travel technology and distribution company that provides reservation, ticketing, and IT solutions for airlines, travel agencies, and other travel industry players.
  • 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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3fc097950819095631ee5679e03af completed April 18, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a016745f32c81909499f71920e8babe completed May 11, 2026, 5:21 a.m.
Created at: April 10, 2026, 5:37 a.m.