Triple

T16866802
Position Surface form Disambiguated ID Type / Status
Subject Sean Pertwee E410063 entity
Predicate parent P120 FINISHED
Object Jon Pertwee E352952 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: Jon Pertwee | Statement: [Sean Pertwee, parent, Jon Pertwee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jon Pertwee
Context triple: [Sean Pertwee, parent, Jon Pertwee]
  • A. Jon Pertwee chosen
    Jon Pertwee was a British actor best known for playing the Third Doctor in the long-running science fiction television series Doctor Who.
  • B. Michael Pertwee
    Michael Pertwee was a British playwright and screenwriter known for his work in theatre, film, and television comedy during the mid-20th century.
  • C. Tom Baker
    Tom Baker is a British actor best known for his iconic portrayal of the Fourth Doctor in the long-running science fiction television series "Doctor Who."
  • D. Tom Baker
    Tom Baker is the harried but loving father of twelve children in the family comedy film "Cheaper by the Dozen."
  • E. Patrick Troughton
    Patrick Troughton was an English actor best known for playing the Second Doctor in the long-running BBC science fiction series Doctor Who.
  • 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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b5088f208190abfe937633ebe3fe completed April 18, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c7a08be48190bd2dbf83205c83ad completed May 10, 2026, 6 p.m.
Created at: April 10, 2026, 5:24 a.m.