Triple

T15491663
Position Surface form Disambiguated ID Type / Status
Subject Return to Telos E378700 entity
Predicate starsActor P5563 FINISHED
Object Tom Baker E115893 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: Tom Baker | Statement: [Return to Telos, starsActor, Tom Baker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Baker
Context triple: [Return to Telos, starsActor, Tom Baker]
  • A. Tom Baker
    Tom Baker is the harried but loving father of twelve children in the family comedy film "Cheaper by the Dozen."
  • B. Tom Baker chosen
    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."
  • C. 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.
  • D. 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."
  • E. 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.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fac2af88190ac1d119e6b21dbe0 completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d48f17c819088c4d8c2d2b368c8 completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 3:48 a.m.