Triple

T9044077
Position Surface form Disambiguated ID Type / Status
Subject Gracie Fields E216711 entity
Predicate alsoKnownAs P39 FINISHED
Object Dame Gracie Fields E216711 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 Gracie Fields | Statement: [Gracie Fields, alsoKnownAs, Dame Gracie Fields]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dame Gracie Fields
Context triple: [Gracie Fields, alsoKnownAs, Dame Gracie Fields]
  • A. Gracie Fields chosen
    Gracie Fields was a popular British singer, comedian, and actress of the early to mid-20th century, renowned for her warm, working-class persona and hit songs in music hall and film.
  • B. Dame Ann Dowling
    Dame Ann Dowling is a prominent British mechanical engineer and academic leader known for her pioneering research in acoustics and aeronautics and for serving as President of the Royal Academy of Engineering.
  • C. Vera Lynn
    Vera Lynn was a beloved British singer known as the “Forces’ Sweetheart” for her morale-boosting songs during World War II.
  • D. Flora Robson
    Flora Robson was a distinguished British actress known for her powerful character roles in both stage and film, often portraying strong, authoritative women.
  • E. Hattie Jacques
    Hattie Jacques was a British comic actress best known for her roles in the "Carry On" film series and her work on radio and television comedy in the mid-20th century.
  • 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_69cffdb868e48190b9d193025cb5b9a2 completed April 3, 2026, 5:49 p.m.
Created at: March 30, 2026, 7:09 p.m.