Triple

T15215372
Position Surface form Disambiguated ID Type / Status
Subject Fashion Walk of Fame E363623 entity
Predicate hasPlaqueFor P10975 FINISHED
Object Stephen Burrows
Stephen Burrows is an influential American fashion designer known for his vibrant, fluid designs and pioneering role in 1970s New York fashion.
E1147382 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: Stephen Burrows | Statement: [Fashion Walk of Fame, hasPlaqueFor, Stephen Burrows]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stephen Burrows
Context triple: [Fashion Walk of Fame, hasPlaqueFor, Stephen Burrows]
  • A. Stephen Goldblatt
    Stephen Goldblatt is a British cinematographer known for his work on major films such as Charlie Wilson's War, Batman Forever, and Lethal Weapon.
  • B. Stephen F. Martin
    Stephen F. Martin is an American organic chemist renowned for his influential research in synthetic methodology and complex molecule synthesis.
  • C. Stephen Schaffer
    Stephen Schaffer is a film editor best known for his work on major animated features, including Pixar's acclaimed movie WALL-E.
  • D. Michael Sayers
    Michael Sayers was a screenwriter known for contributing to the script of the 1967 satirical James Bond film "Casino Royale."
  • E. Stephen Mackey
    Stephen Mackey is a music producer best known for his work on the album "Lungs."
  • 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: Stephen Burrows
Triple: [Fashion Walk of Fame, hasPlaqueFor, Stephen Burrows]
Generated description
Stephen Burrows is an influential American fashion designer known for his vibrant, fluid designs and pioneering role in 1970s New York fashion.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Stephen Burrows
Target entity description: Stephen Burrows is an influential American fashion designer known for his vibrant, fluid designs and pioneering role in 1970s New York fashion.
  • A. Stephen Goldblatt
    Stephen Goldblatt is a British cinematographer known for his work on major films such as Charlie Wilson's War, Batman Forever, and Lethal Weapon.
  • B. Stephen F. Martin
    Stephen F. Martin is an American organic chemist renowned for his influential research in synthetic methodology and complex molecule synthesis.
  • C. Stephen Schaffer
    Stephen Schaffer is a film editor best known for his work on major animated features, including Pixar's acclaimed movie WALL-E.
  • D. Michael Sayers
    Michael Sayers was a screenwriter known for contributing to the script of the 1967 satirical James Bond film "Casino Royale."
  • E. Stephen Mackey
    Stephen Mackey is a music producer best known for his work on the album "Lungs."
  • 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0076e4348819091fa91c1562e7c5c completed April 15, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5e9e2d8819086ca62ca6037dd1c completed May 9, 2026, 7:44 a.m.
NEDg Description generation batch_69fee973d5dc8190b14012dd6f4893ca completed May 9, 2026, 7:59 a.m.
NED2 Entity disambiguation (via description) batch_69fee9bf724881909ed0dcecbce75dc5 completed May 9, 2026, 8:01 a.m.
Created at: April 10, 2026, 3:11 a.m.