Triple

T15647419
Position Surface form Disambiguated ID Type / Status
Subject Keith Andes E376216 entity
Predicate notableWork P4 FINISHED
Object Glynis E485716 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: Glynis | Statement: [Keith Andes, notableWork, Glynis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Glynis
Context triple: [Keith Andes, notableWork, Glynis]
  • A. Glynis chosen
    Glynis is a feminine given name most notably associated with the British actress and singer Glynis Johns.
  • B. Glenys
    Glenys is a feminine given name of Welsh origin, commonly associated with figures such as British politician Glenys Kinnock.
  • C. Ethelyn
    Ethelyn is a feminine given name, considered a variant of Ethel, that saw occasional use in English-speaking countries in the late 19th and early 20th centuries.
  • D. Sheelagh
    Sheelagh is a feminine given name, typically considered an alternative spelling of Sheila and ultimately derived from the Irish name Síle.
  • E. Gwendoline
    Gwendoline is a feminine given name most prominently associated with British actress Gwendoline Christie.
  • 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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ed5b8b081908d7127964eed3b09 completed April 16, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff67936e388190913c9060194e5b53 completed May 9, 2026, 4:57 p.m.
Created at: April 10, 2026, 4:15 a.m.