Triple

T16684353
Position Surface form Disambiguated ID Type / Status
Subject Erica Kane E405419 entity
Predicate spouse P13 FINISHED
Object Phil Brent NE NERFINISHED

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: Phil Brent | Statement: [Erica Kane, spouse, Phil Brent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phil Brent
Context triple: [Erica Kane, spouse, Phil Brent]
  • A. Phil Brent chosen
    Phil Brent is a fictional character from the soap opera "All My Children," known for his complex family relationships and dramatic storylines.
  • B. Gil Buckman
    Gil Buckman is the anxious but well-meaning father and central figure in the film "Parenthood," whose struggles with family, career, and personal expectations drive much of the story’s humor and heart.
  • C. Phil DeVoss
    Phil DeVoss is a fictional character from the romantic comedy-drama film "Elizabethtown," which explores themes of family, failure, and self-discovery.
  • D. Greg Barnett
    Greg Barnett is an actor known for his role in the 2013 television miniseries "The Bible."
  • E. Greg Barnett
    Greg Barnett is a guitarist and vocalist best known as a member of the American punk rock band The Menzingers.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37d71a66881908c8d06cc074fdf29 completed April 18, 2026, 12:47 p.m.
Created at: April 10, 2026, 5:19 a.m.