Triple

T3250494
Position Surface form Disambiguated ID Type / Status
Subject The Chair E68164 entity
Predicate starring P1507 FINISHED
Object Holland Taylor E323994 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: Holland Taylor | Statement: [The Chair, starring, Holland Taylor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Holland Taylor
Context triple: [The Chair, starring, Holland Taylor]
  • A. Holland Taylor chosen
    Holland Taylor is an American actress and playwright known for her sharp-witted stage and screen performances, including acclaimed roles in television series like "Two and a Half Men" and her one-woman play "Ann."
  • B. Andie MacDowell
    Andie MacDowell is an American actress and former fashion model best known for her roles in romantic comedies such as "Groundhog Day" and "Four Weddings and a Funeral."
  • C. Jacqueline Bisset
    Jacqueline Bisset is an English actress known for her work in films from the 1960s onward, including prominent roles in both European and Hollywood cinema.
  • D. Karen Allen
    Karen Allen is an American actress best known for her role as Marion Ravenwood in the Indiana Jones film series.
  • E. Kim Cattrall
    Kim Cattrall is a British-Canadian actress best known for her role as Samantha Jones in the television series "Sex and the City."
  • 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_69b2776934108190ac405ba5ebd47084 completed March 12, 2026, 8:20 a.m.
Created at: March 8, 2026, 3:09 p.m.