Triple

T20629618
Position Surface form Disambiguated ID Type / Status
Subject Marshall Royal E506916 entity
Predicate name P16 FINISHED
Object Marshall Royal NE NERFINISHED

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: Marshall Royal | Statement: [Marshall Royal, name, Marshall Royal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marshall Royal
Context triple: [Marshall Royal, name, Marshall Royal]
  • A. Marshall Royal chosen
    Marshall Royal was an American alto saxophonist and clarinetist best known for his long tenure as lead alto and musical director in Count Basie’s “New Testament” band.
  • B. Marshall Bell
    Marshall Bell is an American character actor known for his memorable supporting roles in films such as Total Recall, Stand by Me, and A Nightmare on Elm Street 2.
  • C. Marshall Harvey
    Marshall Harvey is a film editor best known for his work on movies such as the dark comedy "The 'Burbs."
  • D. Marshall Lee
    Marshall Lee is the gender-swapped vampire counterpart of Marceline from the animated series Adventure Time, appearing in the Fionna and Cake universe.
  • E. Marshall Owen Roberts
    Marshall Owen Roberts was a prominent 19th-century American shipping magnate and financier known for his role in maritime commerce and major infrastructure ventures.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4bd4a0081908d4e97a590a33fb2 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6abe771e88190a48471bf83b4804d completed April 20, 2026, 10:42 p.m.
Created at: April 16, 2026, 11:42 a.m.