Triple

T18173477
Position Surface form Disambiguated ID Type / Status
Subject The Velveteen Rabbit (2009 film) E435090 entity
Predicate screenwriter P2831 FINISHED
Object Cindy Kelley
Cindy Kelley is a screenwriter known for her work on the 2009 film adaptation of "The Velveteen Rabbit."
E1368744 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: Cindy Kelley | Statement: [The Velveteen Rabbit (2009 film), screenwriter, Cindy Kelley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cindy Kelley
Context triple: [The Velveteen Rabbit (2009 film), screenwriter, Cindy Kelley]
  • A. Cindy Walsh
    Cindy Walsh is a fictional mother character from the television series "Beverly Hills, 90210," known for her supportive and grounded role within the Walsh family.
  • B. Cindy Holland
    Cindy Holland is a television executive best known for her influential role in developing and overseeing original content at Netflix.
  • C. Tricia O'Kelley
    Tricia O'Kelley is an American actress best known for her comedic television roles, particularly in popular sitcoms.
  • D. Cindy Marcus
    Cindy Marcus is a screenwriter best known for co-writing Disney's animated sequel "The Lion King II: Simba’s Pride."
  • E. Cindy Pickett
    Cindy Pickett is an American actress best known for her role as Ferris Bueller’s mother in the classic 1986 teen comedy film "Ferris Bueller’s Day Off."
  • 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: Cindy Kelley
Triple: [The Velveteen Rabbit (2009 film), screenwriter, Cindy Kelley]
Generated description
Cindy Kelley is a screenwriter known for her work on the 2009 film adaptation of "The Velveteen Rabbit."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cindy Kelley
Target entity description: Cindy Kelley is a screenwriter known for her work on the 2009 film adaptation of "The Velveteen Rabbit."
  • A. Cindy Walsh
    Cindy Walsh is a fictional mother character from the television series "Beverly Hills, 90210," known for her supportive and grounded role within the Walsh family.
  • B. Cindy Holland
    Cindy Holland is a television executive best known for her influential role in developing and overseeing original content at Netflix.
  • C. Tricia O'Kelley
    Tricia O'Kelley is an American actress best known for her comedic television roles, particularly in popular sitcoms.
  • D. Cindy Marcus
    Cindy Marcus is a screenwriter best known for co-writing Disney's animated sequel "The Lion King II: Simba’s Pride."
  • E. Cindy Pickett
    Cindy Pickett is an American actress best known for her role as Ferris Bueller’s mother in the classic 1986 teen comedy film "Ferris Bueller’s Day Off."
  • 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_69d8b90b7a188190b3fc7b8d4a6cd20a completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4df583a8081908c07d3534091c2ae completed April 19, 2026, 1:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0714355ec081909a1387b65749d627 completed May 15, 2026, 12:40 p.m.
NEDg Description generation batch_6a0714d428c88190b84f70042cf90312 completed May 15, 2026, 12:43 p.m.
NED2 Entity disambiguation (via description) batch_6a0715a8888081908d3009e19b1c7c2f completed May 15, 2026, 12:46 p.m.
Created at: April 10, 2026, 10:30 a.m.