Triple

T6199680
Position Surface form Disambiguated ID Type / Status
Subject Seann William Scott E138597 entity
Predicate familyName P18 FINISHED
Object Scott E408189 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: Scott | Statement: [Seann William Scott, familyName, Scott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scott
Context triple: [Seann William Scott, familyName, Scott]
  • A. Scott
    Scott is the middle name of Francis Scott Key, the American lawyer and poet who wrote the lyrics to the United States national anthem, "The Star-Spangled Banner."
  • B. Scott
    Scott is a central fictional character in Don DeLillo’s novel "Mao II," around whom key themes of identity, terrorism, and the role of the writer in contemporary society revolve.
  • C. Scott chosen
    Scott is a common English-language surname borne by numerous notable individuals across fields such as literature, politics, science, and entertainment.
  • D. Kay
    Kay is a common diminutive or nickname for the given name Catherine.
  • E. Blaine
    Blaine is a small coastal city in northwestern Washington State, located near the Canadian border.
  • 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_69c008acbea48190991c6b834bb45d65 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06253534c8190aafe70a6cf5a67ec completed March 22, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f302984819089c6a17dda476a4b completed March 23, 2026, 4:49 p.m.
Created at: March 22, 2026, 4:20 p.m.