Triple

T16887416
Position Surface form Disambiguated ID Type / Status
Subject Ice Age: Collision Course E421574 entity
Predicate screenwriter P2831 FINISHED
Object Michael J. Wilson E896139 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: Michael J. Wilson | Statement: [Ice Age: Collision Course, screenwriter, Michael J. Wilson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael J. Wilson
Context triple: [Ice Age: Collision Course, screenwriter, Michael J. Wilson]
  • A. Michael J. Wilson chosen
    Michael J. Wilson is an American screenwriter best known for his work on animated feature films, including co-creating the Ice Age franchise and contributing to major studio projects.
  • B. David C. Wilson
    David C. Wilson is a screenwriter best known for co-writing the script for the 2015 spy film adaptation of "The Man from U.N.C.L.E."
  • C. David A. Wilson
    David A. Wilson is a public administrator who serves as the city manager of West Hollywood, California.
  • D. David A. Wilson
    David A. Wilson is a media entrepreneur and co-founder of TheGrio, a news platform focused on African American stories and perspectives.
  • E. Michael Jaffe
    Michael Jaffe is an American television and film producer known for his work on numerous TV movies, series, and feature films.
  • 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3bbc1f42481909dcf595358c23497 completed April 18, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b39d39481908f5d7aa21008fc63 completed May 10, 2026, 11:56 p.m.
Created at: April 10, 2026, 5:29 a.m.