Triple

T7354734
Position Surface form Disambiguated ID Type / Status
Subject Chapter Two E169593 entity
Predicate starredActor P5563 FINISHED
Object Valerie Harper E336869 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: Valerie Harper | Statement: [Chapter Two, starredActor, Valerie Harper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valerie Harper
Context triple: [Chapter Two, starredActor, Valerie Harper]
  • A. Valerie Harper chosen
    Valerie Harper was an American actress best known for her Emmy-winning role as the sharp-witted Rhoda Morgenstern on television in the 1970s.
  • B. Patricia Heaton
    Patricia Heaton is an American actress best known for her role as Debra Barone on the hit sitcom "Everybody Loves Raymond."
  • C. Candice Bergen
    Candice Bergen is an American actress and former fashion model best known for her Emmy-winning role as the sharp-tongued journalist Murphy Brown on the hit television sitcom of the same name.
  • D. Sally Struthers
    Sally Struthers is an American actress and activist best known for her Emmy-winning role as Gloria Stivic on the groundbreaking sitcom "All in the Family."
  • E. Mary Steenburgen
    Mary Steenburgen is an American actress known for her versatile performances in film and television, including acclaimed roles in movies such as "Melvin and Howard," "Back to the Future Part III," and numerous character-driven dramas and comedies.
  • 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_69c68a59f2288190877ca15c19b1e822 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f10e71fc81909307ca39a61142d3 completed March 27, 2026, 9:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7faa25960819084ecb6dbf9369ba5 completed March 28, 2026, 3:58 p.m.
Created at: March 27, 2026, 3:05 p.m.