Triple

T2615720
Position Surface form Disambiguated ID Type / Status
Subject Billie Dove E58883 entity
Predicate name P16 FINISHED
Object Billie Dove E58883 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: Billie Dove | Statement: [Billie Dove, name, Billie Dove]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Billie Dove
Context triple: [Billie Dove, name, Billie Dove]
  • A. Billie Dove chosen
    Billie Dove was a popular American silent film actress of the 1920s, celebrated for her beauty and leading roles in romantic and adventure films.
  • B. Lulie Swanson
    Lulie Swanson was the woman who served as the sponsor for the U.S. Navy aircraft carrier USS Enterprise (CV-6) at its launching ceremony.
  • C. Hattie Shaw
    Hattie Shaw is a skilled MI6 field agent and the sister of Deckard Shaw in the Fast & Furious franchise, prominently featured in "Fast & Furious Presents: Hobbs & Shaw."
  • D. ZaSu Pitts
    ZaSu Pitts was an American actress known for her distinctive comedic persona and expressive features, who appeared in both silent films and talkies throughout a long Hollywood career.
  • E. Josephine Dunn
    Josephine Dunn was an American film and stage actress of the late silent and early sound era, known for her roles in musical and dramatic pictures of the 1920s and 1930s.
  • 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_69ab4ac444dc819099614e534dd6021f completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8812d808190b794862287a76c16 completed March 7, 2026, 7:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc027578c8190b830f550c45ceddc completed March 10, 2026, 6:54 a.m.
Created at: March 6, 2026, 9:50 p.m.