Triple

T16825191
Position Surface form Disambiguated ID Type / Status
Subject Mary Nash E408999 entity
Predicate sibling P363 FINISHED
Object Florence Nash NE NERFINISHED

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 Nash | Statement: [Mary Nash, sibling, Florence Nash]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Florence Nash
Context triple: [Mary Nash, sibling, Florence Nash]
  • A. Florence Nash chosen
    Florence Nash was an American stage and film actress active in the early 20th century, known for her character roles on Broadway and in Hollywood.
  • B. Florence Williamson
    Florence Williamson is a film editor known for her work on the 1972 musical historical comedy film "1776."
  • C. 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."
  • D. Florence Isham
    Florence Isham is a member of the historically prominent Isham family, an English lineage known for its longstanding social and regional influence.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b3126db88190ac5595b0d50e4232 completed April 18, 2026, 4:36 p.m.
Created at: April 10, 2026, 5:23 a.m.