Triple

T13240426
Position Surface form Disambiguated ID Type / Status
Subject GLOW E315264 entity
Predicate mainCharacter P1183 FINISHED
Object Ruth Wilder E315269 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: Ruth Wilder | Statement: [GLOW, mainCharacter, Ruth Wilder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ruth Wilder
Context triple: [GLOW, mainCharacter, Ruth Wilder]
  • A. Ruth Wilder chosen
    Ruth Wilder is the ambitious but struggling actress at the center of the Netflix series "GLOW," known for reinventing herself as the wrestling persona "Zoya the Destroya."
  • B. Judith Coppicus Wilder
    Judith Coppicus Wilder was a German-born American literary scholar and translator known for her work on German literature and culture.
  • C. Edith Willkie
    Edith Willkie was the wife of 1940 Republican presidential nominee Wendell Willkie and an American civic figure active in public and charitable affairs.
  • D. Lucille Warner Reyburn
    Lucille Warner Reyburn was the wife of acclaimed American film director Frank Capra.
  • E. Ruth Browder
    Ruth Browder was the wife of American Communist Party leader Earl Browder and a figure associated with his political and personal life.
  • 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_69d806b1072881909e46bd212259c5f0 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d5850ac8190849a51da39efe5be completed April 10, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff3438888190b4aecb0b67153ed9 completed May 3, 2026, 7:54 a.m.
Created at: April 9, 2026, 9:23 p.m.