Triple

T17714986
Position Surface form Disambiguated ID Type / Status
Subject Pam & Tommy E442171 entity
Predicate director P255 FINISHED
Object Hannah Fidell NE NERFINISHED

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: Hannah Fidell | Statement: [Pam & Tommy, director, Hannah Fidell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hannah Fidell
Context triple: [Pam & Tommy, director, Hannah Fidell]
  • A. Hannah Fidell chosen
    Hannah Fidell is an American filmmaker and television writer-director known for creating and directing intimate, character-driven dramas such as the miniseries "A Teacher."
  • B. Lilly McDowell
    Lilly McDowell is an American actress known for roles in film and television and as the daughter of actors Mary Steenburgen and Malcolm McDowell.
  • C. Lilly McDowell
    Lilly McDowell is an American actress known for her work in film and television and as the daughter of actors Ted Danson and Mary Steenburgen.
  • D. Hannah Phillips
    Hannah Phillips is a fictional character in the Toy Story franchise, known as Sid Phillips' younger sister who briefly appears in the first film.
  • E. Hannah Weaver
    Hannah Weaver is a young law student who becomes a pivotal love interest and emotional anchor in the romantic comedy film "Crazy, Stupid, Love."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9ec79688190b86bdcef85a7b3aa completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4747f217081909010f396caaf03be completed April 19, 2026, 6:21 a.m.
Created at: April 10, 2026, 10:06 a.m.