Triple

T15914748
Position Surface form Disambiguated ID Type / Status
Subject Attack of the Cybermen E385940 entity
Predicate hasDoctorActor P113352 FINISHED
Object Colin Baker E408099 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: Colin Baker | Statement: [Attack of the Cybermen, hasDoctorActor, Colin Baker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colin Baker
Context triple: [Attack of the Cybermen, hasDoctorActor, Colin Baker]
  • A. Colin Baker chosen
    Colin Baker is a British actor best known for playing the Sixth Doctor in the long-running science fiction television series Doctor Who during the 1980s.
  • B. Jon Pertwee
    Jon Pertwee was a British actor best known for playing the Third Doctor in the long-running science fiction television series Doctor Who.
  • C. Sylvester McCoy
    Sylvester McCoy is a Scottish actor best known for playing the Seventh Doctor in the long-running British science fiction series "Doctor Who."
  • D. Peter Davison
    Peter Davison is a British actor best known for playing the Fifth Doctor in the long-running science fiction television series Doctor Who.
  • E. 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."
  • 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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1566216d481908dd6e3acaa26fd45 completed April 16, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb05b15e8819083b67afa52f46283 completed May 9, 2026, 10:08 p.m.
Created at: April 10, 2026, 4:52 a.m.