Triple

T11995866
Position Surface form Disambiguated ID Type / Status
Subject Jason Seaver E285528 entity
Predicate child P120 FINISHED
Object Carol Seaver E321367 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: Carol Seaver | Statement: [Jason Seaver, child, Carol Seaver]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carol Seaver
Context triple: [Jason Seaver, child, Carol Seaver]
  • A. Carol Seaver chosen
    Carol Seaver is the intelligent, ambitious, and sometimes neurotic teenage daughter in the family sitcom "Growing Pains."
  • B. Patricia Dane
    Patricia Dane was an American film actress of the 1940s who appeared in several MGM productions and was briefly married to bandleader Tommy Dorsey.
  • C. Nancy Walters
    Nancy Walters was an American model and film and television actress active in the 1950s and early 1960s, known for roles in Hollywood productions including the Elvis Presley musical "Blue Hawaii."
  • D. Sarah Packard
    Sarah Packard is a troubled, emotionally fragile woman who becomes romantically involved with pool hustler "Fast" Eddie Felson in the 1961 film *The Hustler*.
  • E. Beverly Todd
    Beverly Todd is an American actress known for her work in film, television, and theater, including a notable role in the comedy-drama "The Bucket List."
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903b211688190bfe6dd15c3f96d2f completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62a76b0a48190800c5b3cc40308f3 completed May 2, 2026, 4:46 p.m.
Created at: April 8, 2026, 9:46 p.m.