Triple

T9970274
Position Surface form Disambiguated ID Type / Status
Subject Take This Waltz E196184 entity
Predicate producer P490 FINISHED
Object Jennifer Weiss
Jennifer Weiss is a film producer known for her work on independent movies, including the Canadian drama "Take This Waltz."
E848643 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: Jennifer Weiss | Statement: [Take This Waltz, producer, Jennifer Weiss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jennifer Weiss
Context triple: [Take This Waltz, producer, Jennifer Weiss]
  • A. Lisa Weinstein
    Lisa Weinstein is a film producer best known for her work on the acclaimed 1990 romantic fantasy drama "Ghost."
  • B. Rose Weissman
    Rose Weissman is a refined, strong-willed Upper West Side matriarch and the image-conscious mother of Miriam "Midge" Maisel in the period comedy-drama series "The Marvelous Mrs. Maisel."
  • 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. Rachel Ann Weiss
    Rachel Ann Weiss is the daughter of acclaimed American actress Kathleen Turner and is known for her work as a singer-songwriter.
  • E. Lisa Deutsch
    Lisa Deutsch is known primarily for having been married to the American actor Tony Curtis.
  • 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: Jennifer Weiss
Triple: [Take This Waltz, producer, Jennifer Weiss]
Generated description
Jennifer Weiss is a film producer known for her work on independent movies, including the Canadian drama "Take This Waltz."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jennifer Weiss
Target entity description: Jennifer Weiss is a film producer known for her work on independent movies, including the Canadian drama "Take This Waltz."
  • A. Lisa Weinstein
    Lisa Weinstein is a film producer best known for her work on the acclaimed 1990 romantic fantasy drama "Ghost."
  • B. Rose Weissman
    Rose Weissman is a refined, strong-willed Upper West Side matriarch and the image-conscious mother of Miriam "Midge" Maisel in the period comedy-drama series "The Marvelous Mrs. Maisel."
  • 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. Rachel Ann Weiss
    Rachel Ann Weiss is the daughter of acclaimed American actress Kathleen Turner and is known for her work as a singer-songwriter.
  • E. Lisa Deutsch
    Lisa Deutsch is known primarily for having been married to the American actor Tony Curtis.
  • 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_69ca82eea2b88190a0e511d21a31f386 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb7b7ea9881908a56f11e2e446dd0 completed April 2, 2026, 12:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d369657ecc81909d0c710ca919602e completed April 6, 2026, 8:05 a.m.
NEDg Description generation batch_69d37540b60c8190a52b03c57b4e3708 completed April 6, 2026, 8:56 a.m.
NED2 Entity disambiguation (via description) batch_69d3763948188190a47f48076fc767cb completed April 6, 2026, 9 a.m.
Created at: March 30, 2026, 8:48 p.m.