Triple

T19504961
Position Surface form Disambiguated ID Type / Status
Subject But I'm a Cheerleader E487998 entity
Predicate producer P490 FINISHED
Object Leanna Creel
Leanna Creel is an American actress, producer, director, and photographer best known for her work in film and television, including roles in "Saved by the Bell" and producing independent features.
E1410675 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: Leanna Creel | Statement: [But I'm a Cheerleader, producer, Leanna Creel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leanna Creel
Context triple: [But I'm a Cheerleader, producer, Leanna Creel]
  • A. Talisha Searcy
    Talisha Searcy is an American local politician who serves as the mayor of Takoma Park, Maryland.
  • B. Rebecca Calhoun
    Rebecca Calhoun was the wife of American Revolutionary War general and South Carolina politician Andrew Pickens.
  • C. Jacelyn Reeves
    Jacelyn Reeves is an American former flight attendant best known as the mother of actor Scott Eastwood and for her past relationship with Clint Eastwood.
  • D. Tiana Silliphant
    Tiana Silliphant is known as the wife of Oscar-winning American screenwriter Stirling Silliphant.
  • E. Kirsten Sheridan
    Kirsten Sheridan is an Irish film director and screenwriter known for character-driven dramas such as "August Rush" and "Disco Pigs."
  • 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: Leanna Creel
Triple: [But I'm a Cheerleader, producer, Leanna Creel]
Generated description
Leanna Creel is an American actress, producer, director, and photographer best known for her work in film and television, including roles in "Saved by the Bell" and producing independent features.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Leanna Creel
Target entity description: Leanna Creel is an American actress, producer, director, and photographer best known for her work in film and television, including roles in "Saved by the Bell" and producing independent features.
  • A. Talisha Searcy
    Talisha Searcy is an American local politician who serves as the mayor of Takoma Park, Maryland.
  • B. Rebecca Calhoun
    Rebecca Calhoun was the wife of American Revolutionary War general and South Carolina politician Andrew Pickens.
  • C. Jacelyn Reeves
    Jacelyn Reeves is an American former flight attendant best known as the mother of actor Scott Eastwood and for her past relationship with Clint Eastwood.
  • D. Tiana Silliphant
    Tiana Silliphant is known as the wife of Oscar-winning American screenwriter Stirling Silliphant.
  • E. Kirsten Sheridan
    Kirsten Sheridan is an Irish film director and screenwriter known for character-driven dramas such as "August Rush" and "Disco Pigs."
  • 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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e635113fdc819098ea0f738d01925c completed April 20, 2026, 2:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a081f1f42bc8190b89152f422a1b0e0 completed May 16, 2026, 7:39 a.m.
NEDg Description generation batch_6a08209695e881908cb1afe6e17cd97d completed May 16, 2026, 7:45 a.m.
NED2 Entity disambiguation (via description) batch_6a08245621948190a7ae6f5e25b08a10 completed May 16, 2026, 8:01 a.m.
Created at: April 10, 2026, 1:40 p.m.