Triple

T5692819
Position Surface form Disambiguated ID Type / Status
Subject Dylan Moreland E125465 entity
Predicate associatedWithCharacter P1481 FINISHED
Object Bette Porter E562764 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: Bette Porter | Statement: [Dylan Moreland, associatedWithCharacter, Bette Porter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bette Porter
Context triple: [Dylan Moreland, associatedWithCharacter, 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. 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.
  • C. 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.
  • D. Ruth Wells
    Ruth Wells was the wife of three-time Academy Award–winning American character actor Walter Brennan.
  • E. Frances Bavier
    Frances Bavier was an American actress best known for her portrayal of the warm but no-nonsense Aunt Bee on the classic television sitcom "The Andy Griffith Show."
  • 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_69c0082bb19c8190823a4facd3cba79b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023e678c48190824d35d276985311 completed March 22, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1133b6ce0819080ec5d6bad6d2e97 completed March 23, 2026, 10:17 a.m.
Created at: March 22, 2026, 3:44 p.m.