Triple

T16810966
Position Surface form Disambiguated ID Type / Status
Subject April Bowlby E408606 entity
Predicate portrayed P1668 FINISHED
Object Rita Farr E674805 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: Rita Farr | Statement: [April Bowlby, portrayed, Rita Farr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rita Farr
Context triple: [April Bowlby, portrayed, Rita Farr]
  • A. Rita Farr chosen
    Rita Farr is a fictional superheroine in DC Comics, best known as the elastic, shape-shifting member of the Doom Patrol who struggles with her past as a Hollywood actress.
  • B. Rita Rogers
    Rita Rogers is an actress known for appearing in the 1971 Western film "The Hired Hand."
  • C. Rita May
    Rita May is a song co-written by lyricist Jacques Levy, known for his collaborations with prominent rock and folk musicians in the 1970s.
  • D. Patti Woodward
    Patti Woodward is known as the former wife of American television news producer Don Hewitt, the creator of the CBS program "60 Minutes."
  • E. Rita DeMara
    Rita DeMara is a Marvel Comics character who becomes the supervillain-turned-hero Yellowjacket, known for her size-changing abilities and complex moral journey.
  • 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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2d0793c81909d938ac174a6e63a completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b290d8e4819082880444b42ffa43 completed May 10, 2026, 4:30 p.m.
Created at: April 10, 2026, 5:23 a.m.