Triple

T2124497
Position Surface form Disambiguated ID Type / Status
Subject Finding Nemo E46396 entity
Predicate producer P490 FINISHED
Object Graham Walters
Graham Walters is a film producer best known for his work on the acclaimed Pixar animated feature "Finding Nemo."
 E294111 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: Graham Walters | Statement: [Finding Nemo, producer, Graham Walters]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Graham Walters
Context triple: [Finding Nemo, producer, Graham Walters]
  • A. Graham Wisner
    Graham Wisner is a member of the Wisner family, related to prominent U.S. diplomat and intelligence official Frank Wisner.
  • B. Graeme Revell
    Graeme Revell is a New Zealand-born composer best known for his atmospheric film scores across genres including horror, action, and science fiction.
  • C. Gareth Unwin
    Gareth Unwin is a British film producer best known for his Academy Award-winning work on the historical drama "The King’s Speech."
  • D. Gavin Millar
    Gavin Millar was a Scottish film and television director, critic, and producer known for his work on British dramas and literary adaptations.
  • E. John Brett
    John Brett was a 19th-century British painter associated with the Pre-Raphaelite movement, renowned for his highly detailed landscapes and maritime scenes.
  • 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: Graham Walters
Triple: [Finding Nemo, producer, Graham Walters]
Generated description
Graham Walters is a film producer best known for his work on the acclaimed Pixar animated feature "Finding Nemo."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Graham Walters
Target entity description: Graham Walters is a film producer best known for his work on the acclaimed Pixar animated feature "Finding Nemo."
  • A. Graham Wisner
    Graham Wisner is a member of the Wisner family, related to prominent U.S. diplomat and intelligence official Frank Wisner.
  • B. Graeme Revell
    Graeme Revell is a New Zealand-born composer best known for his atmospheric film scores across genres including horror, action, and science fiction.
  • C. Gareth Unwin
    Gareth Unwin is a British film producer best known for his Academy Award-winning work on the historical drama "The King’s Speech."
  • D. Gavin Millar
    Gavin Millar was a Scottish film and television director, critic, and producer known for his work on British dramas and literary adaptations.
  • E. John Brett
    John Brett was a 19th-century British painter associated with the Pre-Raphaelite movement, renowned for his highly detailed landscapes and maritime scenes.
  • 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_69a88a1626548190ae59a5028c3baa8e completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abbb55cb2c8190aab8199da3335032 completed March 7, 2026, 5:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbba881848190acaff6d216799c2d completed March 10, 2026, 6:35 a.m.
NEDg Description generation batch_69afbc2d10c88190a3f265843f98024b completed March 10, 2026, 6:37 a.m.
NED2 Entity disambiguation (via description) batch_69afbc9dc9248190abd42ad9785c8605 completed March 10, 2026, 6:39 a.m.
Created at: March 4, 2026, 7:44 p.m.