Triple

T8121696
Position Surface form Disambiguated ID Type / Status
Subject Kiri Te Kanawa E189624 entity
Predicate honorificPrefix P536 FINISHED
Object Dame E322854 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: Dame | Statement: [Kiri Te Kanawa, honorificPrefix, Dame]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dame
Context triple: [Kiri Te Kanawa, honorificPrefix, Dame]
  • A. Dame
    Dame is the popular nickname of NBA All-Star point guard Damian Lillard, known for his clutch shooting and leadership.
  • B. Dame chosen
    Dame is a British honorific title bestowed primarily upon women in recognition of significant contributions to national life, often in the arts, public service, or other distinguished fields.
  • C. The Queen
    The Queen is a 1968 American documentary-style film that offers an inside look at a national drag beauty pageant and early drag ball culture in New York City.
  • D. The Queen
    The Queen is a 2006 British drama film directed by Stephen Frears that portrays the British royal family's response to the death of Princess Diana, featuring a celebrated score by Alexandre Desplat.
  • E. Dames
    Dames is a 1934 Warner Bros. musical comedy film famed for its elaborate, visually inventive song-and-dance sequences choreographed by Busby Berkeley.
  • 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_69ca82bb74848190afb1f18640632c10 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb435b72888190ad6330b375ed1eff completed March 31, 2026, 3:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc9454ccb48190b0f894bed5da8a01 completed April 1, 2026, 3:43 a.m.
Created at: March 30, 2026, 5:33 p.m.