Triple

T18318364
Position Surface form Disambiguated ID Type / Status
Subject Daylami E438805 entity
Predicate sire P25213 FINISHED
Object Doyoun 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: Doyoun | Statement: [Daylami, sire, Doyoun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Doyoun
Context triple: [Daylami, sire, Doyoun]
  • A. Doyoun chosen
    Doyoun was a British Thoroughbred racehorse and sire best known for winning the 2000 Guineas in 1988.
  • B. Uicheon
    Uicheon was an influential Korean Buddhist monk and scholar of the Goryeo dynasty, known for promoting the Cheontae (Tiantai) school and attempting to harmonize doctrinal and meditative traditions.
  • C. Jeongdongjin
    Jeongdongjin is a coastal town in South Korea famed for its scenic East Sea sunrise views and seaside railway station.
  • D. Dukho Yeon
    Dukho Yeon is a leading architect and key design partner at Richard Meier & Partners, known for contributing to the firm’s prominent modernist projects worldwide.
  • E. Douye
    Douye is a Nigerian politician who serves as the Governor of Bayelsa State.
  • 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_69d8b916a2d081909e249e4902f6aad9 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50aa342a881909afcd995405027af completed April 19, 2026, 5:02 p.m.
Created at: April 10, 2026, 10:36 a.m.