Triple

T17723821
Position Surface form Disambiguated ID Type / Status
Subject Josephine Archer Cameron E442407 entity
Predicate name P16 FINISHED
Object Josephine Archer Cameron 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: Josephine Archer Cameron | Statement: [Josephine Archer Cameron, name, Josephine Archer Cameron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Josephine Archer Cameron
Context triple: [Josephine Archer Cameron, name, Josephine Archer Cameron]
  • A. Josephine Archer Cameron chosen
    Josephine Archer Cameron is the daughter of actress Linda Hamilton and filmmaker James Cameron.
  • B. Mary Frances Grant
    Mary Frances Grant was a 19th-century American woman best known as the daughter of Hannah Simpson Grant and the sister of U.S. President Ulysses S. Grant.
  • C. Eleanor Louisa Henry
    Eleanor Louisa Henry was the mother of British painter Walter Sickert and a key familial influence in his early life and artistic development.
  • D. Louisa Baldwin
    Louisa Baldwin was a British writer of short stories and novels and a member of the prominent Victorian Kipling-Baldwin family.
  • E. Mary Schenley
    Mary Schenley was a 19th-century philanthropist whose major land donations helped shape public spaces in Pittsburgh, Pennsylvania.
  • 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_69d8b9ec79688190b86bdcef85a7b3aa completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4748900608190bf5ba04415edaffc completed April 19, 2026, 6:22 a.m.
Created at: April 10, 2026, 10:07 a.m.