Triple

T10249668
Position Surface form Disambiguated ID Type / Status
Subject Scott Porter E240306 entity
Predicate portrayed P1668 FINISHED
Object George Tucker E267600 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: George Tucker | Statement: [Scott Porter, portrayed, George Tucker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Tucker
Context triple: [Scott Porter, portrayed, George Tucker]
  • A. George Tucker chosen
    George Tucker is a charming, small-town lawyer and central love interest in the TV series "Hart of Dixie."
  • B. Lovell Edgeworth
    Lovell Edgeworth was a member of the prominent Anglo-Irish Edgeworth family, known primarily as a son of the inventor and educationalist Richard Lovell Edgeworth.
  • C. John Jay
    John Jay was an American statesman, diplomat, co-author of The Federalist Papers, first Chief Justice of the United States, and a key figure in the early formation of the U.S. government.
  • D. George L. Tucker
    George L. Tucker was an American figure of sufficient local or historical prominence to be recognized as a notable burial at Los Angeles’s Angelus-Rosedale Cemetery.
  • E. John Marshall Lang
    John Marshall Lang was a prominent 19th-century Scottish Presbyterian minister and church leader.
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d23c4cd88190b99e65a074b68d6b completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f7b66c6881908b432fbdd5ecf11e completed April 9, 2026, 12:49 a.m.
Created at: April 6, 2026, 11:28 a.m.