Triple

T3250490
Position Surface form Disambiguated ID Type / Status
Subject The Chair E68164 entity
Predicate executiveProducer P7225 FINISHED
Object Annie Julia Wyman E340909 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: Annie Julia Wyman | Statement: [The Chair, executiveProducer, Annie Julia Wyman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Annie Julia Wyman
Context triple: [The Chair, executiveProducer, Annie Julia Wyman]
  • A. Annie Julia Wyman chosen
    Annie Julia Wyman is a writer and academic best known as a co-creator of the Netflix dramedy series "The Chair."
  • B. Frances Ford Seymour
    Frances Ford Seymour was a Canadian-born American socialite and the second wife of actor Henry Fonda, and the mother of actors Jane and Peter Fonda.
  • C. Joan Caulfield
    Joan Caulfield was an American film and television actress best known for her roles in 1940s and 1950s Hollywood romantic comedies and dramas.
  • D. Madeline Kahn
    Madeline Kahn was an American actress and comedian renowned for her distinctive voice and acclaimed performances in films such as "Blazing Saddles," "Young Frankenstein," and "Paper Moon."
  • E. Maxine Albro
    Maxine Albro was an American muralist and painter associated with the New Deal era, best known for her vibrant frescoes and contributions to public art in San Francisco.
  • 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_69ad858e4c708190aa31d486cfee8a6a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaf40f7908190a450c3136fccb020 completed March 8, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28ec4375881908d7f22ef4a80b60c completed March 12, 2026, 10 a.m.
Created at: March 8, 2026, 3:09 p.m.