Triple

T19107306
Position Surface form Disambiguated ID Type / Status
Subject Michael Martin E467688 entity
Predicate spouse P13 FINISHED
Object Mary Martin 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 Martin | Statement: [Michael Martin, spouse, Mary Martin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary Martin
Context triple: [Michael Martin, spouse, Mary Martin]
  • A. Mary Martin
    Mary Martin was a celebrated American stage actress and singer best known for originating iconic musical roles on Broadway, including Maria in *The Sound of Music* and the title role in *Peter Pan*.
  • B. Mary Martin chosen
    Mary Martin is a Seattle-based political activist and perennial candidate associated with the Socialist Workers Party.
  • C. Josephine Lawrence
    Josephine Lawrence was an American author and screenwriter known for her popular novels and contributions to early 20th-century film adaptations.
  • D. Carole Landis
    Carole Landis was an American film actress and World War II pin-up star known for her glamorous screen presence in 1940s Hollywood.
  • E. Jane Powell
    Jane Powell was an American actress, singer, and dancer best known as a 1940s–1950s MGM musical star, particularly for her role in "Seven Brides for Seven Brothers."
  • 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_69d8dd06a26481908039e2a1bae8c597 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e391245c8190b1393577b61c4f76 completed April 20, 2026, 8:28 a.m.
Created at: April 10, 2026, 12:04 p.m.