Triple

T4626059
Position Surface form Disambiguated ID Type / Status
Subject The Fan E101099 entity
Predicate producer P490 FINISHED
Object Wendy Finerman E217547 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: Wendy Finerman | Statement: [The Fan, producer, Wendy Finerman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wendy Finerman
Context triple: [The Fan, producer, Wendy Finerman]
  • A. Wendy Finerman chosen
    Wendy Finerman is an American film producer best known for her work on hit movies such as "Forrest Gump" and "The Devil Wears Prada."
  • B. Wendy Steiner
    Wendy Steiner is an American literary critic and scholar known for her influential work on aesthetics, modernism, and the relationship between visual art and literature.
  • C. Deborah Waxman
    Deborah Waxman is an American rabbi and scholar who serves as a leading contemporary voice and institutional leader within Reconstructionist Judaism.
  • D. Wendy Neuss
    Wendy Neuss is an American television producer best known for her work on Star Trek-related projects and for her past marriage to actor Patrick Stewart.
  • E. Rebecca Feldman
    Rebecca Feldman is a theater artist best known for creating the original improvisational concept that evolved into the Tony Award–winning musical "The 25th Annual Putnam County Spelling Bee."
  • 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_69bd43d0497c8190ac23c65c5804846a completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a0a7b588190bc6552ee5babb198 completed March 20, 2026, 2:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf7fc5ae2c819085a18354feaa6150 completed March 22, 2026, 5:36 a.m.
Created at: March 20, 2026, 1:13 p.m.