Triple

T15987507
Position Surface form Disambiguated ID Type / Status
Subject Carly Corinthos E387734 entity
Predicate father P120 FINISHED
Object John Durant E271086 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: John Durant | Statement: [Carly Corinthos, father, John Durant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Durant
Context triple: [Carly Corinthos, father, John Durant]
  • A. John Durant chosen
    John Durant is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Durant.
  • B. Henry Durant
    Henry Durant is a notable individual best known for being a prominent bearer of the Durant surname, associated with significant achievements or public recognition.
  • C. George Durant
    George Durant was a 17th-century English-born colonial settler and landowner in North Carolina, often regarded as one of the region’s earliest prominent pioneers.
  • D. George Davenport
    George Davenport was a 19th-century American fur trader and early settler whose influence on the region led to the city of Davenport, Iowa being named in his honor.
  • E. William Mason
    William Mason was an 18th-century English poet, clergyman, and close associate of Thomas Gray, known for his influential role in literary and artistic circles.
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1575993948190a05d60fc9d0c05fa completed April 16, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3cfc8d08190a02abc90c889c8e1 completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:54 a.m.