Triple

T17399801
Position Surface form Disambiguated ID Type / Status
Subject Still Standing E423055 entity
Predicate executiveProducer P7225 FINISHED
Object Joan Binder Weiss
Joan Binder Weiss is a television producer and writer best known for her work as an executive producer on the sitcom "Still Standing."
E1266874 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: Joan Binder Weiss | Statement: [Still Standing, executiveProducer, Joan Binder Weiss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joan Binder Weiss
Context triple: [Still Standing, executiveProducer, Joan Binder Weiss]
  • A. Barbara Siegel
    Barbara Siegel is an American author best known for co-writing numerous science fiction and fantasy novels and game-related books, often in collaboration with her husband Scott Siegel.
  • B. Judith Kaye
    Judith Kaye was a pioneering American jurist who became the first woman and longest-serving Chief Judge of the New York Court of Appeals.
  • C. Marjorie Margolies
    Marjorie Margolies is an American journalist, author, and former U.S. Congresswoman from Pennsylvania.
  • D. Dinah Morris
    Dinah Morris is a devout Methodist preacher and one of the central moral figures in George Eliot’s novel "Adam Bede."
  • E. Paula Weinstein
    Paula Weinstein was an American film producer and studio executive known for overseeing acclaimed dramas and major Hollywood productions.
  • 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: Joan Binder Weiss
Triple: [Still Standing, executiveProducer, Joan Binder Weiss]
Generated description
Joan Binder Weiss is a television producer and writer best known for her work as an executive producer on the sitcom "Still Standing."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Joan Binder Weiss
Target entity description: Joan Binder Weiss is a television producer and writer best known for her work as an executive producer on the sitcom "Still Standing."
  • A. Barbara Siegel
    Barbara Siegel is an American author best known for co-writing numerous science fiction and fantasy novels and game-related books, often in collaboration with her husband Scott Siegel.
  • B. Judith Kaye
    Judith Kaye was a pioneering American jurist who became the first woman and longest-serving Chief Judge of the New York Court of Appeals.
  • C. Marjorie Margolies
    Marjorie Margolies is an American journalist, author, and former U.S. Congresswoman from Pennsylvania.
  • D. Dinah Morris
    Dinah Morris is a devout Methodist preacher and one of the central moral figures in George Eliot’s novel "Adam Bede."
  • E. Paula Weinstein
    Paula Weinstein was an American film producer and studio executive known for overseeing acclaimed dramas and major Hollywood productions.
  • 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_69d889d710288190bf0f4762801fefae completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43ac0596481908c400916d5c1b971 completed April 19, 2026, 2:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01a002b034819099fd74e01bb382b0 completed May 11, 2026, 9:23 a.m.
NEDg Description generation batch_6a01a176d2488190951bbe07233a37e4 completed May 11, 2026, 9:29 a.m.
NED2 Entity disambiguation (via description) batch_6a01a58b12088190828078c69c4fff4b completed May 11, 2026, 9:46 a.m.
Created at: April 10, 2026, 5:45 a.m.