Triple

T17165291
Position Surface form Disambiguated ID Type / Status
Subject Scott Asheton E416592 entity
Predicate givenName P17 FINISHED
Object Scott E1147387 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: [Scott Asheton, givenName, Scott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scott
Context triple: [Scott Asheton, givenName, Scott]
  • A. 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.
  • B. Scott
    Scott is a well-known Kimberly-Clark brand that offers paper-based hygiene and cleaning products such as toilet tissue, paper towels, and napkins.
  • C. 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."
  • D. Scott
    Scott is a common English-language surname borne by numerous notable individuals across fields such as literature, politics, science, and entertainment.
  • E. Scott chosen
    Scott is a masculine given name of English and Scottish origin, traditionally meaning "a person from Scotland" or "Gaelic speaker."
  • 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_69d886d279c081909f8ff1f743ddeb69 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f914a0748190b2658edbe576ea2d completed April 18, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01483b827081909619ea691c4c0e1e completed May 11, 2026, 3:08 a.m.
Created at: April 10, 2026, 5:37 a.m.