Triple

T12962565
Position Surface form Disambiguated ID Type / Status
Subject William Labov E321180 entity
Predicate familyName P18 FINISHED
Object Labov E321180 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: Labov | Statement: [William Labov, familyName, Labov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Labov
Context triple: [William Labov, familyName, Labov]
  • A. William Labov chosen
    William Labov is an American linguist regarded as a founder of modern sociolinguistics, known for his influential empirical studies of language variation and change in English.
  • B. Paul Kiparsky
    Paul Kiparsky is a prominent linguist known for his influential work in generative phonology and historical linguistics.
  • C. Dell Hymes
    Dell Hymes was an American linguist, anthropologist, and folklorist best known for founding the field of ethnography of communication and advancing sociolinguistics.
  • D. Harvey Sacks
    Harvey Sacks was an American sociologist and pioneering founder of conversation analysis, known for his influential work on the systematic organization of everyday talk.
  • E. Jack Goody
    Jack Goody was a prominent British social anthropologist known for his influential work on kinship, literacy, and the comparative study of social systems across Africa and Eurasia.
  • 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e2f5e448190b56e74602c43358d completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8e006cc819091e5f4b044cadea4 completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 8:23 p.m.