Triple

T11380175
Position Surface form Disambiguated ID Type / Status
Subject Gone with the Wind E269572 entity
Predicate hasCharacter P2308 FINISHED
Object Charles Hamilton E138868 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: Charles Hamilton | Statement: [Gone with the Wind, hasCharacter, Charles Hamilton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charles Hamilton
Context triple: [Gone with the Wind, hasCharacter, Charles Hamilton]
  • A. Charles Hamilton chosen
    Charles Hamilton is a name shared by several notable individuals, including an 18th-century Scottish-born British politician and a contemporary American rapper and producer.
  • B. Thomas Burke
    Thomas Burke was an American politician who served as the third Governor of North Carolina during the early years of the United States.
  • C. Thomas Burke
    Thomas Burke was a British author best known for his early 20th-century stories set in London’s East End, including the tale that inspired the film "Broken Blossoms."
  • D. Thomas Burke
    Thomas Burke was an American sprinter who became the first Olympic champion in both the 100-meter and 400-meter races at the modern Games.
  • E. John Hamilton
    John Hamilton is a common personal name shared by various notable individuals across fields such as politics, military service, and the arts.
  • 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7fc331f188190a7f69f1aae53fb6b completed April 9, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b8025744819091312adddeb75347 completed April 20, 2026, 5:22 a.m.
Created at: April 8, 2026, 9:34 p.m.