Triple

T7725737
Position Surface form Disambiguated ID Type / Status
Subject SUITE NO. 1, PRELUDE E175124 entity
Predicate composer P1361 FINISHED
Object Nicholas Ma E32309 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: Nicholas Ma | Statement: [SUITE NO. 1, PRELUDE, composer, Nicholas Ma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nicholas Ma
Context triple: [SUITE NO. 1, PRELUDE, composer, Nicholas Ma]
  • A. Nicholas Ma chosen
    Nicholas Ma is a filmmaker and producer known for his work on documentaries and for being the son of renowned cellist Yo-Yo Ma.
  • B. Nicholas Chartier
    Nicholas Chartier is a French film producer best known as the co-founder of Voltage Pictures and for producing the Academy Award–winning film "The Hurt Locker."
  • C. Nicholas Knisely
    Nicholas Knisely is an American Episcopal bishop and former physicist who serves as the diocesan leader of the Episcopal Church in Rhode Island.
  • D. Nicholas Johnston
    Nicholas Johnston is a friend of British Prime Minister Boris Johnson, after whom Johnson’s son Wilfred Lawrie Nicholas Johnson was partly named.
  • E. Nathan Wang
    Nathan Wang is an American composer known for scoring numerous films and television shows, often blending orchestral and contemporary styles.
  • 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_69c6995d541c81909eaa646b1a8369a9 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7031394e48190833b906af9166fe5 completed March 27, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b523aeb481909d132509b56b5602 completed March 29, 2026, 5:14 a.m.
Created at: March 27, 2026, 4:05 p.m.