Triple

T20140321
Position Surface form Disambiguated ID Type / Status
Subject Miss Virginia E491145 entity
Predicate producer P490 FINISHED
Object Stacey Parks
Stacey Parks is a film and television producer known for her work on the pageant-themed drama "Miss Virginia."
E1445187 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: Stacey Parks | Statement: [Miss Virginia, producer, Stacey Parks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stacey Parks
Context triple: [Miss Virginia, producer, Stacey Parks]
  • A. Stacey Sutton
    Stacey Sutton is a fictional geologist and Bond girl who appears as a key ally to James Bond in the 1985 film "A View to a Kill."
  • B. Stacey Jones
    Stacey Jones is a legendary New Zealand rugby league halfback renowned for his playmaking brilliance and long-standing impact on both the New Zealand national team and the New Zealand Warriors.
  • C. Stacey Schroeder
    Stacey Schroeder is a film editor best known for her work on the biographical comedy-drama "The Disaster Artist."
  • D. Stacy Barrett
    Stacy Barrett is a bubbly, loyal, and somewhat ditzy best friend character from the legal comedy-drama TV series "Drop Dead Diva."
  • E. Stacey Colbert
    Stacey Colbert is a central character in the 1990s sitcom "Ned and Stacey," portrayed as an ambitious, sharp-tongued journalist who enters a marriage of convenience with ad executive Ned Dorsey.
  • 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: Stacey Parks
Triple: [Miss Virginia, producer, Stacey Parks]
Generated description
Stacey Parks is a film and television producer known for her work on the pageant-themed drama "Miss Virginia."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Stacey Parks
Target entity description: Stacey Parks is a film and television producer known for her work on the pageant-themed drama "Miss Virginia."
  • A. Stacey Sutton
    Stacey Sutton is a fictional geologist and Bond girl who appears as a key ally to James Bond in the 1985 film "A View to a Kill."
  • B. Stacey Jones
    Stacey Jones is a legendary New Zealand rugby league halfback renowned for his playmaking brilliance and long-standing impact on both the New Zealand national team and the New Zealand Warriors.
  • C. Stacey Schroeder
    Stacey Schroeder is a film editor best known for her work on the biographical comedy-drama "The Disaster Artist."
  • D. Stacy Barrett
    Stacy Barrett is a bubbly, loyal, and somewhat ditzy best friend character from the legal comedy-drama TV series "Drop Dead Diva."
  • E. Stacey Colbert
    Stacey Colbert is a central character in the 1990s sitcom "Ned and Stacey," portrayed as an ambitious, sharp-tongued journalist who enters a marriage of convenience with ad executive Ned Dorsey.
  • 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66798d59c81908ebcd6644b1b3744 completed April 20, 2026, 5:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08d7c821a08190bacd148d57c9be93 completed May 16, 2026, 8:47 p.m.
NEDg Description generation batch_6a08d8aa839c81908be2c3e5c8f54ef5 completed May 16, 2026, 8:50 p.m.
NED2 Entity disambiguation (via description) batch_6a08d9784a08819080de2a65fc129e94 completed May 16, 2026, 8:54 p.m.
Created at: April 11, 2026, 11:32 p.m.