Triple

T22840726
Position Surface form Disambiguated ID Type / Status
Subject Japanese Story E566070 entity
Predicate producer P490 FINISHED
Object Sue Maslin
Sue Maslin is an acclaimed Australian film producer known for championing female-driven stories and producing notable features such as "The Dressmaker" and "Japanese Story."
 E1557702 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: Sue Maslin | Statement: [Japanese Story, producer, Sue Maslin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sue Maslin
Context triple: [Japanese Story, producer, Sue Maslin]
  • A. Paul Genzlinger
    Paul Genzlinger is a mild-mannered, somewhat awkward music teacher who briefly dates Jessica Day on the TV sitcom "New Girl."
  • B. Harry Maslin
    Harry Maslin is an American record producer and engineer best known for his work with David Bowie in the 1970s, including co-producing the albums "Young Americans" and "Station to Station."
  • C. Ann Rosenthal
    Ann Rosenthal is a professional associated with the National Health organization, likely contributing expertise in healthcare or public health.
  • D. Kevin Crowe
    Kevin Crowe is a songwriter best known for co-writing the hit track "Young, Wild & Free."
  • E. Jane Seitz
    Jane Seitz was a German film editor known for her work on notable films including the adaptation of Umberto Eco’s "The Name of the Rose."
  • 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: Sue Maslin
Triple: [Japanese Story, producer, Sue Maslin]
Generated description
Sue Maslin is an acclaimed Australian film producer known for championing female-driven stories and producing notable features such as "The Dressmaker" and "Japanese Story."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sue Maslin
Target entity description: Sue Maslin is an acclaimed Australian film producer known for championing female-driven stories and producing notable features such as "The Dressmaker" and "Japanese Story."
  • A. Paul Genzlinger
    Paul Genzlinger is a mild-mannered, somewhat awkward music teacher who briefly dates Jessica Day on the TV sitcom "New Girl."
  • B. Harry Maslin
    Harry Maslin is an American record producer and engineer best known for his work with David Bowie in the 1970s, including co-producing the albums "Young Americans" and "Station to Station."
  • C. Ann Rosenthal
    Ann Rosenthal is a professional associated with the National Health organization, likely contributing expertise in healthcare or public health.
  • D. Kevin Crowe
    Kevin Crowe is a songwriter best known for co-writing the hit track "Young, Wild & Free."
  • E. Jane Seitz
    Jane Seitz was a German film editor known for her work on notable films including the adaptation of Umberto Eco’s "The Name of the Rose."
  • 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_69e245869e188190a196584f36e682da completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e83fa48819084568264ef45c833 completed April 29, 2026, 3:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ba7b565388190bb70602834ae5622 completed May 18, 2026, 11:58 p.m.
NEDg Description generation batch_6a0ba8666f608190b512aa4c8442f6c1 completed May 19, 2026, 12:01 a.m.
NED2 Entity disambiguation (via description) batch_6a0baa4decf881909774facad2cae93d completed May 19, 2026, 12:09 a.m.
Created at: April 17, 2026, 3:35 p.m.