Triple

T4028549
Position Surface form Disambiguated ID Type / Status
Subject Desert Island Discs E83650 entity
Predicate presenter P83 FINISHED
Object Michael Parkinson E189629 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: Michael Parkinson | Statement: [Desert Island Discs, presenter, Michael Parkinson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Parkinson
Context triple: [Desert Island Discs, presenter, Michael Parkinson]
  • A. Michael Parkinson chosen
    Michael Parkinson was a renowned British broadcaster and journalist best known for his long-running, influential television talk show "Parkinson."
  • B. Steve Ross
    Steve Ross was an American businessman best known for building Warner Communications into a media powerhouse and serving as a key architect of what became Time Warner.
  • C. Dennis Miller
    Dennis Miller is an American stand-up comedian, talk show host, and actor known for his acerbic wit and work on Saturday Night Live and various political commentary programs.
  • D. Bill Murphy
    Bill Murphy is a film editor known for his work on the Australian drama film "Romper Stomper."
  • E. Jon Tenney
    Jon Tenney is an American actor best known for his role as FBI Special Agent Fritz Howard on the television crime drama series "The Closer."
  • 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_69aed92e29ac819080f7a98b594fec05 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefaf066b08190afbb4a18ddc8d67e completed March 9, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b556358f148190be7008092d0023af completed March 14, 2026, 12:36 p.m.
Created at: March 9, 2026, 3:36 p.m.