Triple

T4013718
Position Surface form Disambiguated ID Type / Status
Subject John Nathan-Turner E90704 entity
Predicate introducedCompanion P22642 FINISHED
Object Peri Brown
Peri Brown is a companion of the Fifth and Sixth Doctors in the long-running British science fiction television series Doctor Who.
 E418948 NE FINISHED

How this triple was built (4 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: [John Nathan-Turner, introducedCompanion, Peri Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Peri Brown
Context triple: [John Nathan-Turner, introducedCompanion, Peri Brown]
  • A. 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.
  • B. Lindy Robbins
    Lindy Robbins is an American songwriter known for crafting hit pop songs for major artists across the contemporary music industry.
  • C. 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.
  • D. Dorys Madden
    Dorys Madden is best known as the wife of Basketball Hall of Famer Julius "Dr. J" Erving.
  • E. Pamela Brown
    Pamela Brown was a British stage and film actress known for her intense character roles in mid-20th-century cinema and theatre.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Peri Brown
Triple: [John Nathan-Turner, introducedCompanion, Peri Brown]
Generated description
Peri Brown is a companion of the Fifth and Sixth Doctors in the long-running British science fiction television series Doctor Who.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Peri Brown
Target entity description: Peri Brown is a companion of the Fifth and Sixth Doctors in the long-running British science fiction television series Doctor Who.
  • A. 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.
  • B. Lindy Robbins
    Lindy Robbins is an American songwriter known for crafting hit pop songs for major artists across the contemporary music industry.
  • C. 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.
  • D. Dorys Madden
    Dorys Madden is best known as the wife of Basketball Hall of Famer Julius "Dr. J" Erving.
  • E. Pamela Brown
    Pamela Brown was a British stage and film actress known for her intense character roles in mid-20th-century cinema and theatre.
  • F. None of above. chosen

Provenance (5 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_69aed95e44088190aff7d90a151b1b20 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af01994b0c8190b34af36acadad5c6 completed March 9, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b589ccd0a48190b98dbe7268df678f completed March 14, 2026, 4:16 p.m.
NEDg Description generation batch_69b58a561a2c8190bb5a0077b3868945 completed March 14, 2026, 4:18 p.m.
NED2 Entity disambiguation (via description) batch_69b58b03e8b48190a9d443a7dfaa9dd4 completed March 14, 2026, 4:21 p.m.
Created at: March 9, 2026, 3:35 p.m.