Triple

T1528787
Position Surface form Disambiguated ID Type / Status
Subject Isaac E32393 entity
Predicate portrayedBy P1507 FINISHED
Object Mark Jackson E32393 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: Mark Jackson | Statement: [Isaac, portrayedBy, Mark Jackson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mark Jackson
Context triple: [Isaac, portrayedBy, Mark Jackson]
  • A. Mark Jackson chosen
    Mark Jackson is a British actor best known for playing the android Isaac on the science fiction television series "The Orville."
  • B. Rick Adelman
    Rick Adelman is an American former NBA head coach best known for leading the Portland Trail Blazers to multiple deep playoff runs in the early 1990s and later guiding several other franchises with his innovative offensive systems.
  • C. Terry Stotts
    Terry Stotts is an American basketball coach best known for his long tenure as head coach of the NBA’s Portland Trail Blazers, where he led the team to multiple playoff appearances.
  • D. Byron Scott
    Byron Scott is a former NBA shooting guard and three-time champion with the Los Angeles Lakers who later became an NBA head coach.
  • E. Darryl Frank
    Darryl Frank is an American television and film producer known for his work on high-profile series such as Falling Skies and other Amblin Television projects.
  • 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_69a885e9b0ac819093a9806ad0efc82c completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abb1dfd1a48190804ca5f0fb6f5985 completed March 7, 2026, 5:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad2955dc788190988ebf911714437b completed March 8, 2026, 7:46 a.m.
Created at: March 4, 2026, 7:26 p.m.