Triple

T4154581
Position Surface form Disambiguated ID Type / Status
Subject Companions of the Doctor E89985 entity
Predicate notableMember P10 FINISHED
Object Peri Brown E418948 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: Peri Brown | Statement: [Companions of the Doctor, notableMember, Peri Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peri Brown
Context triple: [Companions of the Doctor, notableMember, Peri Brown]
  • A. Peri Brown chosen
    Peri Brown is a companion of the Fifth and Sixth Doctors in the long-running British science fiction television series Doctor Who.
  • B. Nell Jones
    Nell Jones is an intelligence analyst and tech specialist on the television series "NCIS: Los Angeles," known for her sharp analytical skills and quirky personality.
  • C. Lindy Robbins
    Lindy Robbins is an American songwriter known for crafting hit pop songs for major artists across the contemporary music industry.
  • D. Polly Parrish
    Polly Parrish is the main character in the 1939 romantic comedy film "Bachelor Mother," portrayed as a salesgirl who becomes entangled in comedic misunderstandings after being mistaken for an abandoned baby's mother.
  • E. Dorys Madden
    Dorys Madden is best known as the wife of Basketball Hall of Famer Julius "Dr. J" Erving.
  • 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_69aed95a59a881909b26e70b42c6811a completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af027954008190a28841802055afe8 completed March 9, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5960e8e3c8190b8eb9ed59971aa63 completed March 14, 2026, 5:08 p.m.
Created at: March 9, 2026, 3:44 p.m.