Triple

T9044105
Position Surface form Disambiguated ID Type / Status
Subject Gracie Fields E216711 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: [Gracie Fields, honorificPrefix, Dame]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dame
Context triple: [Gracie Fields, 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_69ca83d22d488190adbce5e020e9cd1d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6b137cec8190bd1b812c10d9542a completed April 1, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfeba4c5f48190b7fc85f2137dd93e completed April 3, 2026, 4:32 p.m.
Created at: March 30, 2026, 7:09 p.m.