Triple

T21899021
Position Surface form Disambiguated ID Type / Status
Subject Jenny Schecter E540757 entity
Predicate conflictWith P4897 FINISHED
Object Bette Porter 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: Bette Porter | Statement: [Jenny Schecter, conflictWith, Bette Porter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bette Porter
Context triple: [Jenny Schecter, conflictWith, Bette Porter]
  • A. Bette Porter chosen
    Bette Porter is a central character in the drama series "The L Word," known as an ambitious, sophisticated art curator navigating complex relationships and LGBTQ+ community dynamics in Los Angeles.
  • B. Phyllis Shotwell
    Phyllis Shotwell is a singer and musician best known for contributing music to the 1974 gambling-themed film "California Split."
  • C. Dore Ashton
    Dore Ashton was an influential American art critic and historian best known for her writings on postwar modern art and her close engagement with avant-garde movements in New York.
  • D. Priscilla Lane
    Priscilla Lane was an American film actress best known as one of the Lane Sisters and for her roles in popular 1930s and 1940s Hollywood films.
  • E. Ruth Wells
    Ruth Wells was the wife of three-time Academy Award–winning American character actor Walter Brennan.
  • 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_69e0c47b4e8c81908c8076eaa4c8e4f2 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f11fc8c2108190b55ff1ba3badc9fb completed April 28, 2026, 8:59 p.m.
Created at: April 16, 2026, 7:07 p.m.