Triple

T6025949
Position Surface form Disambiguated ID Type / Status
Subject Gladys Louise Smith E134180 entity
Predicate mother P120 FINISHED
Object Charlotte Hennessy E91862 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: Charlotte Hennessy | Statement: [Gladys Louise Smith, mother, Charlotte Hennessy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlotte Hennessy
Context triple: [Gladys Louise Smith, mother, Charlotte Hennessy]
  • A. Charlotte Hennessy chosen
    Charlotte Hennessy was the mother of silent film star Mary Pickford and played a key role in managing and supporting her early acting career.
  • B. Bronwen Maddox
    Bronwen Maddox is a British journalist and policy analyst who has held prominent leadership roles in UK public policy and media organizations.
  • C. Verity Faulks
    Verity Faulks is the wife of British novelist Sebastian Faulks, known for maintaining a private life largely out of the public eye despite her husband's literary prominence.
  • D. Sarah Ward
    Sarah Ward is a British producer and the former wife of actor Tom Hardy.
  • E. Elizabeth Minshull
    Elizabeth Minshull was the third wife and later-life caretaker of the English poet John Milton, whom she married in 1663.
  • 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_69c0087515148190a97475d412563865 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04fc08c5c819085afab5b18bce4d1 completed March 22, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11ce9ea008190bc9056ee1822fd0f completed March 23, 2026, 10:58 a.m.
Created at: March 22, 2026, 4:07 p.m.