Triple

T3994468
Position Surface form Disambiguated ID Type / Status
Subject Opie Taylor E87066 entity
Predicate relative P37 FINISHED
Object Clara Edwards E390507 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: Clara Edwards | Statement: [Opie Taylor, relative, Clara Edwards]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clara Edwards
Context triple: [Opie Taylor, relative, Clara Edwards]
  • A. Clara Edwards chosen
    Clara Edwards is a fictional resident of the town of Mayberry on the classic television series "The Andy Griffith Show," known as a prim, proper, and occasionally meddlesome older woman.
  • B. Lucy Edwards
    Lucy Edwards was a daughter of prominent American religious figure Sarah Pierpont Edwards and thus a member of the influential Edwards family of the 18th century.
  • C. Letitia Cropley
    Letitia Cropley is an eccentric parishioner in the British sitcom "The Vicar of Dibley," best known for her bizarre and unappetizing culinary creations.
  • D. Clarissa Helena Graves
    Clarissa Helena Graves was the wife of the influential 19th-century German historian Leopold von Ranke.
  • E. Claire Louise
    Claire Louise was the wife of American film actor Robert Armstrong, best known for his role in the classic movie "King Kong."
  • 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_69aed94118148190975e6aa4e554cde9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa1f0fb88190aafbfdc98bc8652d completed March 9, 2026, 4:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5403c703081908070625ebfb6fb5f completed March 14, 2026, 11:02 a.m.
Created at: March 9, 2026, 3:34 p.m.