Triple

T19891206
Position Surface form Disambiguated ID Type / Status
Subject Lang E478034 entity
Predicate hasVariant P455 FINISHED
Object Laing 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: Laing | Statement: [Lang, hasVariant, Laing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laing
Context triple: [Lang, hasVariant, Laing]
  • A. Laing chosen
    Laing is a spicy Filipino dish from the Bicol region made primarily of dried taro leaves cooked in coconut milk, often with chilies and meat or seafood.
  • B. Lythgoe
    Lythgoe is an English surname most notably associated with television producer and choreographer Nigel Lythgoe.
  • C. Laird
    Laird is a given name of Scottish origin traditionally used as a masculine middle or first name, associated with landownership and nobility.
  • D. Nisbet
    Nisbet is a Scottish-origin surname borne by various notable individuals across history, including figures in politics, the arts, and academia.
  • E. Ramsay
    Ramsay is a Scottish-origin surname borne by numerous notable figures in British history, including military leaders, politicians, and artists.
  • 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_69d8e51f32b08190b3687f4f60353250 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6590e02388190ab82918750cc2647 completed April 20, 2026, 4:49 p.m.
Created at: April 10, 2026, 1:52 p.m.