Triple

T8897519
Position Surface form Disambiguated ID Type / Status
Subject Sir Kay E211842 entity
Predicate nameInWelsh P13076 FINISHED
Object Cei E764910 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: Cei | Statement: [Sir Kay, nameInWelsh, Cei]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cei
Context triple: [Sir Kay, nameInWelsh, Cei]
  • A. Cei chosen
    Cei is a figure from early Welsh Arthurian tradition who served as a prototype for the later literary character Sir Kay.
  • B. Celles
    Celles is a small French village in the Hérault department of southern France, known for its picturesque location on the shores of the artificial Lac du Salagou.
  • C. Cini
    Cini is an Italian surname associated with the family of American singer and actor Al Martino.
  • D. Tyto
    Tyto is a genus of medium-sized owls best known for including the widespread barn owl and its close relatives.
  • E. Wem
    Wem is a small market town and civil parish in the county of Shropshire, England.
  • 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_69ca83918d3081909b326fa3750cb8c8 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6424a8c08190aef2aa2079dd85f1 completed April 1, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba212fd081909ae87853c81e1d30 completed April 3, 2026, 1:01 p.m.
Created at: March 30, 2026, 6:54 p.m.