Triple

T8985038
Position Surface form Disambiguated ID Type / Status
Subject Thomas Ewing E214639 entity
Predicate spouse P13 FINISHED
Object Maria Boyle E214639 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: Maria Boyle | Statement: [Thomas Ewing, spouse, Maria Boyle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maria Boyle
Context triple: [Thomas Ewing, spouse, Maria Boyle]
  • A. Maria Boyle chosen
    Maria Boyle was the wife of prominent 19th-century American politician and jurist Thomas Ewing.
  • B. Elizabeth Kitley
    Elizabeth Kitley is an American college basketball center for Virginia Tech, recognized as one of the top players in the nation and a multi-time ACC Player of the Year.
  • C. Emily Carmichael
    Emily Carmichael is an American filmmaker and screenwriter known for her work on genre films such as Pacific Rim: Uprising and for her distinctive, imaginative storytelling style.
  • D. Kathryn Boyd
    Kathryn Boyd is an American model and former assistant who later became the wife of actor Josh Brolin.
  • E. Catherine Owen
    Catherine Owen is a Canadian poet and writer known for her innovative, genre-blending poetry and contributions to contemporary Canadian literature.
  • 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_69ca839f76bc8190a4b7123cdd682199 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc67ecc5188190a6fb4d5456893121 completed April 1, 2026, 12:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69d02fb3a27081909bc8504c92d8942f completed April 3, 2026, 9:22 p.m.
Created at: March 30, 2026, 7:03 p.m.