Triple

T18806469
Position Surface form Disambiguated ID Type / Status
Subject Delilah E459887 entity
Predicate associatedWith P37 FINISHED
Object Yao 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: Yao | Statement: [Delilah, associatedWith, Yao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yao
Context triple: [Delilah, associatedWith, Yao]
  • A. Yao
    Yao is a Southern Bantu language spoken primarily in Malawi, Mozambique, and Tanzania by the Yao people.
  • B. Yao
    Yao is a Chinese surname borne by many notable individuals, including figures in politics, sports, and academia.
  • C. Yao
    Yao is a city in Osaka Prefecture, Japan, known as an industrial and residential hub within the Kansai region.
  • D. Yao
    Yao are an ethnic minority people in southern China and Southeast Asia known for their distinct languages, traditional clothing, and mountain village communities.
  • E. Yao chosen
    Yao is a calm, enigmatic wellness consultant at the remote health resort in Liane Moriarty’s novel (and its TV adaptation) "Nine Perfect Strangers."
  • 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_69d8d398c7d4819091cb2f7e48948aeb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5a3d7f8d08190a3e02fab6dc40bb5 completed April 20, 2026, 3:56 a.m.
Created at: April 10, 2026, 11:53 a.m.