Triple

T751150
Position Surface form Disambiguated ID Type / Status
Subject Academy Award for Best Costume Design E15449 entity
Predicate notableMultipleWinners P6588 FINISHED
Object Sandy Powell
Sandy Powell is a renowned British costume designer celebrated for her innovative and influential work on numerous acclaimed films.
E89987 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: Sandy Powell | Statement: [Academy Award for Best Costume Design, notableMultipleWinners, Sandy Powell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sandy Powell
Context triple: [Academy Award for Best Costume Design, notableMultipleWinners, Sandy Powell]
  • A. Lee Russell
    Lee Russell was an American photographer known for his work documenting rural life and poverty in the United States as part of the Farm Security Administration project during the Great Depression.
  • B. Gillian Armstrong
    Gillian Armstrong is an Australian film director best known for works such as "My Brilliant Career" and the 1994 adaptation of "Little Women."
  • C. Kathryn Bigelow
    Kathryn Bigelow is an American film director and producer best known for her gritty, suspenseful dramas such as "The Hurt Locker" and "Zero Dark Thirty."
  • D. Sam Wood
    Sam Wood was an American film director best known for his work during Hollywood’s Golden Age, including classics such as "A Night at the Opera," "Goodbye, Mr. Chips," and "The Pride of the Yankees."
  • E. Jennifer Lame
    Jennifer Lame is an American film editor known for her frequent collaborations with prominent directors such as Christopher Nolan, including her work on the 2023 biographical thriller "Oppenheimer."
  • 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: Sandy Powell
Triple: [Academy Award for Best Costume Design, notableMultipleWinners, Sandy Powell]
Generated description
Sandy Powell is a renowned British costume designer celebrated for her innovative and influential work on numerous acclaimed films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sandy Powell
Target entity description: Sandy Powell is a renowned British costume designer celebrated for her innovative and influential work on numerous acclaimed films.
  • A. Lee Russell
    Lee Russell was an American photographer known for his work documenting rural life and poverty in the United States as part of the Farm Security Administration project during the Great Depression.
  • B. Gillian Armstrong
    Gillian Armstrong is an Australian film director best known for works such as "My Brilliant Career" and the 1994 adaptation of "Little Women."
  • C. Kathryn Bigelow
    Kathryn Bigelow is an American film director and producer best known for her gritty, suspenseful dramas such as "The Hurt Locker" and "Zero Dark Thirty."
  • D. Sam Wood
    Sam Wood was an American film director best known for his work during Hollywood’s Golden Age, including classics such as "A Night at the Opera," "Goodbye, Mr. Chips," and "The Pride of the Yankees."
  • E. Jennifer Lame
    Jennifer Lame is an American film editor known for her frequent collaborations with prominent directors such as Christopher Nolan, including her work on the 2023 biographical thriller "Oppenheimer."
  • 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_69a493599a0081908da65f3407af1ef2 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a64c67748190aef3522b4b428563 completed March 1, 2026, 8:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69a65e4086e481908d0ea29729d92d67 completed March 3, 2026, 4:06 a.m.
NEDg Description generation batch_69a65eeaa34481909b0deac860fbadfc completed March 3, 2026, 4:09 a.m.
NED2 Entity disambiguation (via description) batch_69a65f7b09b08190bf38f02a912b2276 completed March 3, 2026, 4:11 a.m.
Created at: March 1, 2026, 7:37 p.m.