Triple

T3680202
Position Surface form Disambiguated ID Type / Status
Subject The Tomb of the Cybermen E78091 entity
Predicate writtenBy P806 FINISHED
Object Gerry Davis E116390 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: Gerry Davis | Statement: [The Tomb of the Cybermen, writtenBy, Gerry Davis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gerry Davis
Context triple: [The Tomb of the Cybermen, writtenBy, Gerry Davis]
  • A. Gerry Davis
    Gerry Davis is a longtime Major League Baseball umpire known for working numerous postseason games and serving as a crew chief in multiple World Series.
  • B. Gerry Davis chosen
    Gerry Davis was a British television writer and script editor best known for his work on Doctor Who, including co-creating the iconic Cybermen.
  • C. Gordon Davis
    Gordon Davis is a pseudonym used by E. Howard Hunt, the American intelligence officer and author involved in the Watergate scandal.
  • D. Arthur Davis
    Arthur Davis was a British architect best known for his role in designing the opulent early 20th-century luxury hotel The Ritz in London.
  • E. Gordon Heath
    Gordon Heath was an American actor, singer, and director known for his work on stage and in film, as well as for his influential career in Europe, particularly in France.
  • 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_69ad85e18c1c8190be8aafb227f39f48 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc49153ec81909ff3a3df54416d0e completed March 8, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e4e5906481909c0d0989dde7743f completed March 14, 2026, 4:32 a.m.
Created at: March 8, 2026, 3:25 p.m.