Triple

T14287507
Position Surface form Disambiguated ID Type / Status
Subject Elisabeth Clara Heath-Sladen E354211 entity
Predicate workedWith P398 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 Clara Heath-Sladen, workedWith, Tom Baker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Baker
Context triple: [Elisabeth Clara Heath-Sladen, workedWith, 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. Tom Baker
    Tom Baker is the harried but loving father of twelve children in the family comedy film "Cheaper by the Dozen."
  • 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de698023288190b1d705235c2b2ca3 completed April 14, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe249ebd3c81908d8b562845d9ceb1 completed May 8, 2026, 5:59 p.m.
Created at: April 10, 2026, 1:11 a.m.