Triple

T20254345
Position Surface form Disambiguated ID Type / Status
Subject Rachael Blake E498645 entity
Predicate spouse P13 FINISHED
Object Tony Martin (actor) 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: Tony Martin (actor) | Statement: [Rachael Blake, spouse, Tony Martin (actor)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tony Martin (actor)
Context triple: [Rachael Blake, spouse, Tony Martin (actor)]
  • A. Sam Martin
    Sam Martin is an American singer and songwriter best known for his vocal features on electronic dance music tracks and collaborations with prominent DJs.
  • B. Tony Martin chosen
    Tony Martin was an American pop singer and actor popular from the 1930s through the 1950s, known for his smooth baritone voice and appearances in numerous Hollywood musicals.
  • C. Tony Martin
    Tony Martin is an English heavy metal vocalist best known for his multiple tenures as lead singer of Black Sabbath during the late 1980s and 1990s.
  • D. Tommy Hill
    Tommy Hill was a songwriter best known for composing the country-pop standard "Don’t Let the Stars Get in Your Eyes."
  • E. Guy Martin
    Guy Martin is a British motorcycle road racer and television presenter known for his Isle of Man TT exploits and engineering-focused TV documentaries.
  • 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_69da6275fa6c8190952924930adee150 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e673aa42348190852ae8313f4494ca completed April 20, 2026, 6:42 p.m.
Created at: April 11, 2026, 11:41 p.m.