Triple

T22176323
Position Surface form Disambiguated ID Type / Status
Subject The X-Men #1 E548059 entity
Predicate colorist P36862 FINISHED
Object Stan Goldberg 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: Stan Goldberg | Statement: [The X-Men #1, colorist, Stan Goldberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stan Goldberg
Context triple: [The X-Men #1, colorist, Stan Goldberg]
  • A. Stan Goldberg chosen
    Stan Goldberg was an American comic book artist and colorist best known for his influential work at Marvel Comics during the Silver Age and for later defining the look of Archie Comics characters.
  • B. Stu Goldberg
    Stu Goldberg is an American jazz fusion keyboardist and composer best known for his work in the 1970s with prominent fusion groups and as a session musician.
  • C. Ian Goldberg
    Ian Goldberg is a television writer and producer best known for his work on genre series such as Fear the Walking Dead and Once Upon a Time.
  • D. Marc Goldberg
    Marc Goldberg is a film producer known for his work on various contemporary movies, including the dark comedy "The Estate" (2022).
  • E. Art Goldberg
    Art Goldberg was a prominent activist and organizer associated with the 1960s Free Speech Movement at the University of California, Berkeley.
  • 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_69e11e3d53f88190a2b690e3f25bb062 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12a6c40988190ba52ea46079eb306 completed April 28, 2026, 9:45 p.m.
Created at: April 16, 2026, 8:34 p.m.