Triple

T9235904
Position Surface form Disambiguated ID Type / Status
Subject A Journal for Jordan E221935 entity
Predicate screenwriter P2831 FINISHED
Object Virgil Williams E414067 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: Virgil Williams | Statement: [A Journal for Jordan, screenwriter, Virgil Williams]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Virgil Williams
Context triple: [A Journal for Jordan, screenwriter, Virgil Williams]
  • A. Virgil Williams chosen
    Virgil Williams is an American screenwriter best known for co-writing the critically acclaimed film "Mudbound" and for his work on television dramas.
  • B. Randall Thompson
    Randall Thompson was a prominent 20th-century American composer best known for his choral works, including the frequently performed piece "Alleluia."
  • C. Jerome Moross
    Jerome Moross was an American composer best known for his sweeping, Americana-infused film scores and concert works, particularly in the Western genre.
  • D. Eric Coates
    Eric Coates was a British composer best known for his light orchestral music and popular marches that became widely familiar through radio and film.
  • E. Eric Coates
    Eric Coates was a British computer scientist known for his involvement in early information retrieval and classification research, including work with the influential Classification Research Group.
  • 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_69ca83ed628c8190bc02d641e57f097f completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccf09d42488190b8ccb9c4b62fdda8 completed April 1, 2026, 10:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d077cc774c8190bdbdd4071c11f096 completed April 4, 2026, 2:30 a.m.
Created at: March 30, 2026, 7:29 p.m.