Triple

T13790728
Position Surface form Disambiguated ID Type / Status
Subject Bill & Ted's Bogus Journey E331387 entity
Predicate writer P1360 FINISHED
Object Ed Solomon E456959 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: Ed Solomon | Statement: [Bill & Ted's Bogus Journey, writer, Ed Solomon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ed Solomon
Context triple: [Bill & Ted's Bogus Journey, writer, Ed Solomon]
  • A. Ed Solomon chosen
    Ed Solomon is an American screenwriter and filmmaker best known for co-writing hit films such as "Men in Black" and the "Bill & Ted" series.
  • B. Andrew Solt
    Andrew Solt was a Hungarian-American screenwriter and producer best known for his work on mid-20th-century films and later for creating music-related documentaries and television programs.
  • C. Sam Koppelman
    Sam Koppelman is an American writer and political speechwriter known for co-authoring books with figures like Beto O’Rourke and for his work on voting rights and democracy.
  • D. Matthew Salsberg
    Matthew Salsberg is a television writer and producer best known for his work on the dark comedy series "Weeds."
  • E. Josh Sussman
    Josh Sussman is an American actor best known for his recurring roles on the television series "Glee" and "Wizards of Waverly Place."
  • 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_69d81c58feb08190a77bca8bf7d6d20f completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de024af32c8190a9bd1278e09564ba completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b07f5cf48190b59827efb5918a95 completed May 3, 2026, 8:30 p.m.
Created at: April 9, 2026, 10:11 p.m.