Triple

T15625139
Position Surface form Disambiguated ID Type / Status
Subject The Good Dinosaur E375658 entity
Predicate editingBy P1954 FINISHED
Object Stephen Schaffer E240007 NE FINISHED

How this triple was built (2 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: Stephen Schaffer | Statement: [The Good Dinosaur, editingBy, Stephen Schaffer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stephen Schaffer
Context triple: [The Good Dinosaur, editingBy, Stephen Schaffer]
  • A. Stephen Schaffer chosen
    Stephen Schaffer is a film editor best known for his work on major animated features, including Pixar's acclaimed movie WALL-E.
  • B. Paul Schneider
    Paul Schneider is an American actor known for his roles in films such as "The Assassination of Jesse James by the Coward Robert Ford" and the television series "Parks and Recreation."
  • C. Paul Schneider
    Paul Schneider is a film editor known for his work on feature films such as the romantic comedy "I Think I Love My Wife."
  • D. Philip Schneider
    Philip Schneider is an American social venture entrepreneur and film producer best known as the husband of Academy Award–winning actress Hilary Swank.
  • E. David Schiff
    David Schiff is a contemporary American composer and music scholar known for his genre-blending works and writings on modern music.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d85cd035a48190b73d5579ab73969a completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e9e5e248190ae54cda1fde51efb completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff82e73534819095fca1b804d5db58 completed May 9, 2026, 6:54 p.m.
Created at: April 10, 2026, 4:14 a.m.