Triple

T12664238
Position Surface form Disambiguated ID Type / Status
Subject Josephine Hull E302505 entity
Predicate name P16 FINISHED
Object Josephine Hull E302505 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: Josephine Hull | Statement: [Josephine Hull, name, Josephine Hull]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Josephine Hull
Context triple: [Josephine Hull, name, Josephine Hull]
  • A. Josephine Hull chosen
    Josephine Hull was an American stage and film actress best known for her comedic character roles, including her Oscar-winning performance in "Harvey."
  • B. Josephine Hutchinson
    Josephine Hutchinson was an American stage and film actress known for her work in Hollywood during the 1930s and 1940s, including roles in classic horror and dramatic films.
  • C. Josephine Owen
    Josephine Owen was the wife of influential American psychologist and scientific editor James McKeen Cattell.
  • D. Josephine Bloom
    Josephine Bloom is a character in the film and novel "Big Fish," known as the supportive and loving wife of Will Bloom.
  • E. Josephine Evans Elbert
    Josephine Evans Elbert was the wife of Samuel Hitt Elbert, a 19th-century American politician and governor of the Colorado Territory.
  • 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9617e030881908444743b8a7e0d75 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a539f098819096e955a035742dad completed May 3, 2026, 1:30 a.m.
Created at: April 9, 2026, 5:19 p.m.