Triple

T15035176
Position Surface form Disambiguated ID Type / Status
Subject Snowcap Base E378460 entity
Predicate hasCommander P1197 FINISHED
Object General Cutler E1133502 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: General Cutler | Statement: [Snowcap Base, hasCommander, General Cutler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: General Cutler
Context triple: [Snowcap Base, hasCommander, General Cutler]
  • A. General Cutler chosen
    General Cutler is a high-ranking military officer character in the Doctor Who universe, notably involved in events surrounding the Snowcap Base.
  • B. Sir Horace Cutler
    Sir Horace Cutler was a British Conservative politician best known for leading the Greater London Council in the late 1970s and shaping London’s urban and transport policies during his tenure.
  • C. Tomblaine
    Tomblaine is a commune in northeastern France, near Nancy, known for hosting the home stadium of the AS Nancy football club.
  • D. Andrew Clavert
    Andrew Clavert is a musician best known for having been a member of the alternative rock band The Breeders.
  • E. Colonel Cutter
    Colonel Cutter is a militant and initially loyal but ultimately conflicted ant officer who serves as a key supporting character in the animated film "Antz."
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded82b29948190acda49cbec3f927a completed April 15, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69fea5b75c04819085996a7f88ab6c38 completed May 9, 2026, 3:10 a.m.
Created at: April 10, 2026, 2:59 a.m.