Triple

T14173557
Position Surface form Disambiguated ID Type / Status
Subject Stir of Echoes E351273 entity
Predicate editedBy P1954 FINISHED
Object Jill Savitt
Jill Savitt is a film editor known for her work on movies such as the supernatural thriller "Stir of Echoes."
E1164400 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: Jill Savitt | Statement: [Stir of Echoes, editedBy, Jill Savitt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jill Savitt
Context triple: [Stir of Echoes, editedBy, Jill Savitt]
  • A. Jill Krementz
    Jill Krementz is an American photographer and author best known for her portraits of writers and her work in children's literature.
  • B. Jill Furman
    Jill Furman is a Tony Award–winning American theatrical producer best known for her work on hit Broadway shows including the musical phenomenon "Hamilton."
  • C. Rachel Leibowitz
    Rachel Leibowitz is a person notable enough to be specifically cited as a bearer of the surname Leibowitz.
  • D. Jill Singer
    Jill Singer was an Australian journalist, television presenter, and columnist known for her work on current affairs programs and in print media.
  • E. Melissa Rosenberg
    Melissa Rosenberg is an American screenwriter and producer best known for adapting the Twilight Saga films and creating the Marvel television series Jessica Jones.
  • 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: Jill Savitt
Triple: [Stir of Echoes, editedBy, Jill Savitt]
Generated description
Jill Savitt is a film editor known for her work on movies such as the supernatural thriller "Stir of Echoes."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jill Savitt
Target entity description: Jill Savitt is a film editor known for her work on movies such as the supernatural thriller "Stir of Echoes."
  • A. Jill Krementz
    Jill Krementz is an American photographer and author best known for her portraits of writers and her work in children's literature.
  • B. Jill Furman
    Jill Furman is a Tony Award–winning American theatrical producer best known for her work on hit Broadway shows including the musical phenomenon "Hamilton."
  • C. Rachel Leibowitz
    Rachel Leibowitz is a person notable enough to be specifically cited as a bearer of the surname Leibowitz.
  • D. Jill Singer
    Jill Singer was an Australian journalist, television presenter, and columnist known for her work on current affairs programs and in print media.
  • E. Melissa Rosenberg
    Melissa Rosenberg is an American screenwriter and producer best known for adapting the Twilight Saga films and creating the Marvel television series Jessica Jones.
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61b7cc3081909f4fa371e1eae130 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c2a938081909ccd9fe7c5021dc6 completed May 9, 2026, 3 p.m.
NEDg Description generation batch_69ff4d7e60dc8190aa80cb269b1811bc completed May 9, 2026, 3:06 p.m.
NED2 Entity disambiguation (via description) batch_69ff4e03e8748190a23e7577accaf04a completed May 9, 2026, 3:08 p.m.
Created at: April 10, 2026, 1:01 a.m.