Triple

T9801525
Position Surface form Disambiguated ID Type / Status
Subject Dr. Zoe Hart E237847 entity
Predicate loveInterest P7325 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: [Dr. Zoe Hart, loveInterest, George Tucker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Tucker
Context triple: [Dr. Zoe Hart, loveInterest, 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_69ca84dd4608819097ff4ed00feca280 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda62a11a88190880e0cce24923b14 completed April 1, 2026, 11:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c44a652c81908f644e1a5efe3eb1 completed April 5, 2026, 2:09 a.m.
Created at: March 30, 2026, 8:29 p.m.