Triple

T11697288
Position Surface form Disambiguated ID Type / Status
Subject Susannah Garner Carpenter E278028 entity
Predicate name P16 FINISHED
Object Susannah Garner Carpenter E278028 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: Susannah Garner Carpenter | Statement: [Susannah Garner Carpenter, name, Susannah Garner Carpenter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Susannah Garner Carpenter
Context triple: [Susannah Garner Carpenter, name, Susannah Garner Carpenter]
  • A. Susannah Garner Carpenter chosen
    Susannah Garner Carpenter is the sister of American actress Jennifer Garner and a member of the Garner family known largely outside the public spotlight.
  • B. Katherine Carpenter
    Katherine Carpenter is an American former model and actress best known as the longtime wife of Scottish actor David McCallum.
  • C. Susannah Clapp
    Susannah Clapp is a British literary critic and theatre reviewer known for her long-standing work at The Observer and her influential role in contemporary literary culture.
  • D. Susannah Shipman
    Susannah Shipman is a film producer best known for her work on the Academy Award–winning documentary "Taxi to the Dark Side."
  • E. Mary Carr
    Mary Carr was an American character actress of the silent and early sound film era, often cast as kindly maternal figures.
  • 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a47cef60819088b7cc3a3a711e4c completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69f01943196c8190900b46da238e1f24 completed April 28, 2026, 2:19 a.m.
Created at: April 8, 2026, 9:40 p.m.