Triple

T21253164
Position Surface form Disambiguated ID Type / Status
Subject William Chalmers E523795 entity
Predicate familyName P18 FINISHED
Object Chalmers 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: Chalmers | Statement: [William Chalmers, familyName, Chalmers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chalmers
Context triple: [William Chalmers, familyName, Chalmers]
  • A. Chalmers chosen
    Chalmers is a masculine given name most notably borne by the American political scientist and Japan scholar Chalmers Johnson.
  • B. Swinburne
    Swinburne was a prominent Victorian-era English poet and critic known for his innovative verse forms, musical language, and often controversial themes.
  • C. Oriel
    Oriel is the commonly used short name for Oriel College, one of the constituent colleges of the University of Oxford.
  • D. Oriel
    Oriel was a medieval Irish kingdom in the north of Ireland, historically associated with the O’Carroll and other Gaelic dynasties.
  • E. Oriel
    Oriel is a surname most notably associated with Jane Elizabeth Ebsworth Oriel, the late wife of British naturalist and broadcaster David Attenborough.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b5146c108190adc9adb73e90abff completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7359f5b408190b951adddba83c97a completed April 21, 2026, 8:30 a.m.
Created at: April 16, 2026, 3:57 p.m.