Triple

T22024280
Position Surface form Disambiguated ID Type / Status
Subject The Price of Everything E543918 entity
Predicate producer P490 FINISHED
Object Debi Wisch
Debi Wisch is a film producer best known for her work on contemporary art–focused documentaries, including the acclaimed film "The Price of Everything."
E1527595 NE FINISHED

How this triple was built (4 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: Debi Wisch | Statement: [The Price of Everything, producer, Debi Wisch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Debi Wisch
Context triple: [The Price of Everything, producer, Debi Wisch]
  • A. Debra Frisch
    Debra Frisch is an American former psychology professor and blogger best known for a high-profile online harassment case involving a political commentator.
  • B. Debi Unger
    Debi Unger is a writer and historian known for co-authoring several works of American history, often in collaboration with her husband, historian Irwin Unger.
  • C. Shari Weiser
    Shari Weiser is a puppeteer and performer best known for physically portraying the character Hoggle in Jim Henson’s fantasy film "Labyrinth."
  • D. Debra Weinfeld
    Debra Weinfeld is a film editor known for her work on the action drama movie "Never Back Down."
  • E. Diane Siegler
    Diane Siegler is a character in the satirical film "Citizen Ruth," which critiques the abortion debate in the United States.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Debi Wisch
Triple: [The Price of Everything, producer, Debi Wisch]
Generated description
Debi Wisch is a film producer best known for her work on contemporary art–focused documentaries, including the acclaimed film "The Price of Everything."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Debi Wisch
Target entity description: Debi Wisch is a film producer best known for her work on contemporary art–focused documentaries, including the acclaimed film "The Price of Everything."
  • A. Debra Frisch
    Debra Frisch is an American former psychology professor and blogger best known for a high-profile online harassment case involving a political commentator.
  • B. Debi Unger
    Debi Unger is a writer and historian known for co-authoring several works of American history, often in collaboration with her husband, historian Irwin Unger.
  • C. Shari Weiser
    Shari Weiser is a puppeteer and performer best known for physically portraying the character Hoggle in Jim Henson’s fantasy film "Labyrinth."
  • D. Debra Weinfeld
    Debra Weinfeld is a film editor known for her work on the action drama movie "Never Back Down."
  • E. Diane Siegler
    Diane Siegler is a character in the satirical film "Citizen Ruth," which critiques the abortion debate in the United States.
  • F. None of above. chosen

Provenance (5 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_69e11e2e8ea4819084210fe06d3a1b8d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127ca45a08190b2d5d3a8eb37cb4b completed April 28, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0ab6447c248190992069ae0257c38b completed May 18, 2026, 6:48 a.m.
NEDg Description generation batch_6a0ab77252b0819098e9daa2930ceb6a completed May 18, 2026, 6:53 a.m.
NED2 Entity disambiguation (via description) batch_6a0ab81e47a08190b4148080f363fcf5 completed May 18, 2026, 6:56 a.m.
Created at: April 16, 2026, 8:23 p.m.