Triple

T12146061
Position Surface form Disambiguated ID Type / Status
Subject Phyllis Haver E289324 entity
Predicate name P16 FINISHED
Object Phyllis Haver E289324 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: Phyllis Haver | Statement: [Phyllis Haver, name, Phyllis Haver]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phyllis Haver
Context triple: [Phyllis Haver, name, Phyllis Haver]
  • A. Phyllis Haver chosen
    Phyllis Haver was an American silent film actress best known for her vivacious screen presence and her role as Roxie Hart in the 1927 film adaptation of "Chicago."
  • B. Celeste Holm
    Celeste Holm was an American actress best known for her Academy Award–winning performance in "Gentleman's Agreement" and her work on stage and screen during Hollywood's Golden Age.
  • C. Audrey Totter
    Audrey Totter was an American film and television actress best known for her tough, alluring roles in classic 1940s film noir.
  • D. Betty Hutton
    Betty Hutton was a high-energy American film actress and singer best known for her comedic and musical roles in 1940s and 1950s Hollywood.
  • E. Margaret Dumont
    Margaret Dumont was an American comic actress best known as the dignified, often flustered foil to the Marx Brothers in many of their classic films.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915ac2ebc81909155f9b2fb4a2252 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69b7c615481909659aed4ae72f572 completed May 3, 2026, 12:49 a.m.
Created at: April 8, 2026, 9:49 p.m.