Triple

T6814316
Position Surface form Disambiguated ID Type / Status
Subject Brothers & Sisters E156713 entity
Predicate executiveProducer P7225 FINISHED
Object Sarah Caplan
Sarah Caplan is a television producer best known for her work as an executive producer on the family drama series "Brothers & Sisters."
E660371 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: Sarah Caplan | Statement: [Brothers & Sisters, executiveProducer, Sarah Caplan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarah Caplan
Context triple: [Brothers & Sisters, executiveProducer, Sarah Caplan]
  • A. Kathryn Chetkovich
    Kathryn Chetkovich is an American writer and essayist known for her fiction and for her widely discussed essay about envy and literary success.
  • B. Katherine Spiegel
    Katherine Spiegel was the wife of prominent American film director and producer Mervyn LeRoy.
  • C. Caroline Kaplan
    Caroline Kaplan is a film producer known for her work on independent movies such as "The Ballad of Jack and Rose."
  • D. Alison Schapker
    Alison Schapker is an American television writer and producer known for her work on series such as Alias, Lost, Fringe, and The Flash.
  • E. Kathryn Murphy
    Kathryn Murphy is the fictional prosecutor who seeks justice for a brutal sexual assault in the 1988 legal drama film "The Accused."
  • 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: Sarah Caplan
Triple: [Brothers & Sisters, executiveProducer, Sarah Caplan]
Generated description
Sarah Caplan is a television producer best known for her work as an executive producer on the family drama series "Brothers & Sisters."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sarah Caplan
Target entity description: Sarah Caplan is a television producer best known for her work as an executive producer on the family drama series "Brothers & Sisters."
  • A. Kathryn Chetkovich
    Kathryn Chetkovich is an American writer and essayist known for her fiction and for her widely discussed essay about envy and literary success.
  • B. Katherine Spiegel
    Katherine Spiegel was the wife of prominent American film director and producer Mervyn LeRoy.
  • C. Caroline Kaplan
    Caroline Kaplan is a film producer known for her work on independent movies such as "The Ballad of Jack and Rose."
  • D. Alison Schapker
    Alison Schapker is an American television writer and producer known for her work on series such as Alias, Lost, Fringe, and The Flash.
  • E. Kathryn Murphy
    Kathryn Murphy is the fictional prosecutor who seeks justice for a brutal sexual assault in the 1988 legal drama film "The Accused."
  • 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_69c68828b26c819090fe9df7612bbc27 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d32c40508190932718a649fc1417 completed March 27, 2026, 6:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c80299ee8c8190a64397339ae62119 completed March 28, 2026, 4:32 p.m.
NEDg Description generation batch_69c8035151a481908a33c1ecd12c2f6d completed March 28, 2026, 4:35 p.m.
NED2 Entity disambiguation (via description) batch_69c803aea0808190a5208c02a0db1187 completed March 28, 2026, 4:37 p.m.
Created at: March 27, 2026, 2:17 p.m.