Triple

T11638417
Position Surface form Disambiguated ID Type / Status
Subject The Babylonian Story E276587 entity
Predicate featuresActor P15562 FINISHED
Object Tully Marshall E158875 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: Tully Marshall | Statement: [The Babylonian Story, featuresActor, Tully Marshall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tully Marshall
Context triple: [The Babylonian Story, featuresActor, Tully Marshall]
  • A. Tully Marshall chosen
    Tully Marshall was an American character actor of the silent and early sound film era, known for his prolific work in supporting roles across numerous Hollywood productions.
  • B. Leon Riley
    Leon Riley was an American professional baseball player and minor league manager, best known as the father of legendary NBA coach and executive Pat Riley.
  • C. Shawn Hochuli
    Shawn Hochuli is an American NFL official who followed his father Ed Hochuli into a prominent career as a referee.
  • D. Tyrone Kelsie
    Tyrone Kelsie is an author best known for writing the work titled "Uproar."
  • E. Jules Bledsoe
    Jules Bledsoe was an American baritone singer and actor best remembered as an early and influential African American star of musical theatre and opera in the early 20th century.
  • 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_69d6aafa51148190ab84940694c00235 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a25e90c08190b7fb73939a2be3d7 completed April 10, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef137087248190bb6c196bc94eb0f6 completed April 27, 2026, 7:42 a.m.
Created at: April 8, 2026, 9:39 p.m.