Triple

T2341894
Position Surface form Disambiguated ID Type / Status
Subject Cyd Charisse E45043 entity
Predicate spouse P13 FINISHED
Object Tony Martin E127443 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: Tony Martin | Statement: [Cyd Charisse, spouse, Tony Martin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tony Martin
Context triple: [Cyd Charisse, spouse, Tony Martin]
  • A. 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.
  • B. Kenny Wilkinson
    Kenny Wilkinson is an English rock drummer best known as a longtime member of the band Magnum.
  • C. Scot Armstrong
    Scot Armstrong is an American screenwriter and producer known for his work on hit comedy films such as "Old School," "Road Trip," and "The Hangover Part II."
  • D. Billy Barty
    Billy Barty was an American actor and activist known for his prolific character roles in film and television and for founding Little People of America to advocate for people with dwarfism.
  • E. Craig Armstrong
    Craig Armstrong is a Scottish composer and arranger renowned for his emotive film scores and orchestral works, including music for major films such as "Love Actually," "Moulin Rouge!" and "The Great Gatsby."
  • 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_69a88917935081909b755dbf38e81024 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abc6ad01fc81909e386986e9acc989 completed March 7, 2026, 6:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae9622cdb08190835222482bd22cf4 completed March 9, 2026, 9:42 a.m.
Created at: March 4, 2026, 7:52 p.m.