Triple

T36749688
Position Surface form Disambiguated ID Type / Status
Subject Haltemprice and Howden E907870 entity
Predicate representedIn2005 P200400 FINISHED
Object David Davis NE NERFINISHED

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: David Davis | Statement: [Haltemprice and Howden, representedIn2005, David Davis]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: representedIn2005
Context triple: [Haltemprice and Howden, representedIn2005, David Davis]
  • A. representedIn2010sBy
    Indicates that one entity served as the representative, depiction, or embodiment of another entity specifically during the 2010s decade.
  • B. representedInOffice
    Indicates that an entity serves as an official representative of another entity within a specific office or governmental body.
  • C. representedInRegionBy
    Indicates that something’s presence, extent, or characteristics within a region are captured or modeled by a specific representation associated with that region.
  • D. representedInTitle
    Indicates that an entity is mentioned or reflected in the title of another resource.
  • E. representedInPartBy
    Indicates that something is partially depicted, expressed, or captured within another thing, but not in its entirety.
  • F. None of above. chosen

Provenance (4 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_69f76e76d10881909ec1679bc043108c completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69ff878f41888190bcb3bc41ad26081a completed May 9, 2026, 7:14 p.m.
PD Predicate disambiguation batch_69ff854082d88190aad3bfedf05e849f completed May 9, 2026, 7:04 p.m.
PDg Predicate description generation batch_69ff878e8334819097e3c4bb5ca6ffa5 completed May 9, 2026, 7:14 p.m.
Created at: May 3, 2026, 4:12 p.m.