Triple

T19973496
Position Surface form Disambiguated ID Type / Status
Subject Roger E493626 entity
Predicate workStars P94797 FINISHED
Object Wendy Makkena 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: Wendy Makkena | Statement: [Roger, workStars, Wendy Makkena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wendy Makkena
Context triple: [Roger, workStars, Wendy Makkena]
  • A. Wendy Makkena chosen
    Wendy Makkena is an American actress best known for her role as shy nun Sister Mary Robert in the hit comedy film "Sister Act" and its sequel.
  • B. Wendy Padbury
    Wendy Padbury is a British actress best known for playing the companion Zoe Heriot in the classic science fiction television series Doctor Who during the late 1960s.
  • C. Wendy Rhoades
    Wendy Rhoades is a brilliant in-house performance coach and psychiatrist at the hedge fund Axe Capital in the television drama "Billions," known for her sharp psychological insight and complex personal loyalties.
  • D. Wendy Ferguson
    Wendy Ferguson is known as a child of the renowned Canadian jazz trumpeter and bandleader Maynard Ferguson.
  • E. Veanne Cox
    Veanne Cox is an American actress and singer known for her work in musical theatre, film, and television, often recognized for her comedic and character roles.
  • 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_69da626a67648190af9653832a3aeced completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65bcb72048190aedb4f085ace0493 completed April 20, 2026, 5 p.m.
Created at: April 11, 2026, 3:17 p.m.