Triple

T3633372
Position Surface form Disambiguated ID Type / Status
Subject The Kite Runner (film) E77009 entity
Predicate producer P490 FINISHED
Object Rebecca Yeldham
Rebecca Yeldham is a film producer known for her work on acclaimed independent and international films, including the adaptation of "The Kite Runner."
E397925 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: Rebecca Yeldham | Statement: [The Kite Runner (film), producer, Rebecca Yeldham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rebecca Yeldham
Context triple: [The Kite Runner (film), producer, Rebecca Yeldham]
  • A. Thea Sharrock
    Thea Sharrock is a British theatre and film director known for her acclaimed stage productions and for directing the feature film "Me Before You."
  • B. Lucy Ridsdale
    Lucy Ridsdale was the wife of British Conservative statesman and three-time Prime Minister Stanley Baldwin.
  • C. Rebecca Howe
    Rebecca Howe is a fictional character on the sitcom "Cheers," known as the ambitious and often neurotic bar manager who replaces Diane Chambers.
  • D. Ria Langham
    Ria Langham was an American socialite best known as the second wife of Hollywood actor Clark Gable.
  • E. Claire Brialey
    Claire Brialey is a prominent British science fiction fan writer and fanzine editor recognized for her influential contributions to fandom and multiple Hugo Award wins.
  • 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: Rebecca Yeldham
Triple: [The Kite Runner (film), producer, Rebecca Yeldham]
Generated description
Rebecca Yeldham is a film producer known for her work on acclaimed independent and international films, including the adaptation of "The Kite Runner."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rebecca Yeldham
Target entity description: Rebecca Yeldham is a film producer known for her work on acclaimed independent and international films, including the adaptation of "The Kite Runner."
  • A. Thea Sharrock
    Thea Sharrock is a British theatre and film director known for her acclaimed stage productions and for directing the feature film "Me Before You."
  • B. Lucy Ridsdale
    Lucy Ridsdale was the wife of British Conservative statesman and three-time Prime Minister Stanley Baldwin.
  • C. Rebecca Howe
    Rebecca Howe is a fictional character on the sitcom "Cheers," known as the ambitious and often neurotic bar manager who replaces Diane Chambers.
  • D. Ria Langham
    Ria Langham was an American socialite best known as the second wife of Hollywood actor Clark Gable.
  • E. Claire Brialey
    Claire Brialey is a prominent British science fiction fan writer and fanzine editor recognized for her influential contributions to fandom and multiple Hugo Award wins.
  • 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_69ad85dd0be48190b738990cb20c4731 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc30457608190840fb5b33f9965c4 completed March 8, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51c6559c88190a0ae63d0f05d5d75 completed March 14, 2026, 8:29 a.m.
NEDg Description generation batch_69b5203ee2d88190b3bf401c77d05853 completed March 14, 2026, 8:45 a.m.
NED2 Entity disambiguation (via description) batch_69b520bcf1748190b252f913f2750d17 completed March 14, 2026, 8:47 a.m.
Created at: March 8, 2026, 3:23 p.m.