Triple

T14933398
Position Surface form Disambiguated ID Type / Status
Subject Florence Stanley E372328 entity
Predicate name P16 FINISHED
Object Florence Stanley E372328 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: Florence Stanley | Statement: [Florence Stanley, name, Florence Stanley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Florence Stanley
Context triple: [Florence Stanley, name, Florence Stanley]
  • A. Florence Stanley chosen
    Florence Stanley was an American character actress best known for her roles on the television series "Barney Miller" and "My Two Dads."
  • B. Florence Williamson
    Florence Williamson is a film editor known for her work on the 1972 musical historical comedy film "1776."
  • C. Florence Tanner
    Florence Tanner is a spiritual medium and key protagonist in the horror novel and film "The Legend of Hell House," known for her psychic sensitivity and attempts to confront the malevolent forces within the haunted mansion.
  • D. Florence McFadden
    Florence McFadden was the wife of American actor and vaudevillian Jack Haley, best known for his role as the Tin Man in the classic film "The Wizard of Oz."
  • E. Florence Howard
    Florence Howard is a person known primarily through her family connection to Rome Howard.
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded646a0808190ba5c0c91bde011c5 completed April 15, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0007757ed48190813f6ab839240a15 completed May 10, 2026, 4:20 a.m.
Created at: April 10, 2026, 2:37 a.m.