Triple

T17862139
Position Surface form Disambiguated ID Type / Status
Subject Joseph Sargent E446098 entity
Predicate spouse P13 FINISHED
Object Mary Carver 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: Mary Carver | Statement: [Joseph Sargent, spouse, Mary Carver]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary Carver
Context triple: [Joseph Sargent, spouse, Mary Carver]
  • A. Mary Carver chosen
    Mary Carver was an American actress known for her work in film, television, and theater, including roles in productions such as "Best Seller" and the TV series "Simon & Simon."
  • B. Lavinia Steward
    Lavinia Steward was a benefactor whose support and legacy were honored through the naming of the Steward Observatory.
  • C. Mary Carr
    Mary Carr was an American character actress of the silent and early sound film era, often cast as kindly maternal figures.
  • D. Elizabeth Parker
    Elizabeth Parker was the daughter of Eliza Parker Todd and a member of the extended family connected to Mary Todd Lincoln.
  • E. Elizabeth Parker
    Elizabeth Parker is a British composer and sound designer best known for her electronic music and soundscapes created at the BBC Radiophonic Workshop.
  • 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_69d8b9f26f18819089c9e43250bee6ae completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e49790ea148190b7a966812d44f430 completed April 19, 2026, 8:51 a.m.
Created at: April 10, 2026, 10:17 a.m.