Triple

T11480969
Position Surface form Disambiguated ID Type / Status
Subject Evelyn Sharp E272144 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: [Evelyn Sharp, honorificPrefix, Dame]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dame
Context triple: [Evelyn Sharp, 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 one of the love poems by Chilean Nobel laureate Pablo Neruda, included in his influential 1924 collection *Twenty Love Poems and a Song of Despair*.
  • 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. 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.
  • 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8294f0e948190b2e106beb86e4b2c completed April 9, 2026, 10:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69e60434966c81909a277b6a0fd9f358 completed April 20, 2026, 10:47 a.m.
Created at: April 8, 2026, 9:36 p.m.