Triple

T3378366
Position Surface form Disambiguated ID Type / Status
Subject Elisabeth Sladen E71119 entity
Predicate appearedWith P28308 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: [Elisabeth Sladen, appearedWith, Tom Baker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Baker
Context triple: [Elisabeth Sladen, appearedWith, Tom Baker]
  • A. 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."
  • 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. 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.
  • D. Tom Rhys-Davies
    Tom Rhys-Davies is the son of Welsh actor John Rhys-Davies, known for his work in film and television.
  • E. Christopher Eccleston
    Christopher Eccleston is an English actor known for his intense, versatile performances in film and television, including roles in "Doctor Who," "The Leftovers," and numerous British dramas.
  • 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_69ad85a7f80c8190a05e43013f298942 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb2eacb5c81908071a1dacc9a897a completed March 8, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b367ee84408190b167673d6f7ba6b0 completed March 13, 2026, 1:27 a.m.
Created at: March 8, 2026, 3:14 p.m.