Triple

T11668370
Position Surface form Disambiguated ID Type / Status
Subject X-Force E277311 entity
Predicate creator P184 FINISHED
Object Fabian Nicieza E658060 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: Fabian Nicieza | Statement: [X-Force, creator, Fabian Nicieza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fabian Nicieza
Context triple: [X-Force, creator, Fabian Nicieza]
  • A. Fabian Nicieza chosen
    Fabian Nicieza is a comic book writer best known for his influential work at Marvel Comics, including co-creating the popular antihero Deadpool.
  • B. David Webb Peoples
    David Webb Peoples is an American screenwriter best known for his work on acclaimed films such as "Unforgiven" and "Blade Runner."
  • C. Dan Pagis
    Dan Pagis was a prominent Israeli poet, Holocaust survivor, and scholar whose innovative, allusive verse made him one of the central figures of modern Hebrew literature.
  • D. Michael Jan Friedman
    Michael Jan Friedman is an American science fiction author best known for his numerous Star Trek novels and tie-in works.
  • E. Steve Englehart
    Steve Englehart is an American comic book writer best known for his influential 1970s work at Marvel and DC, including acclaimed runs on titles like Doctor Strange, The Avengers, Captain America, and Batman.
  • 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_69d6aafd0a448190b44da30af8c6c519 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a440d8a481909a13c97813408bc8 completed April 10, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef13c3ea648190ae18cd2869be74ad completed April 27, 2026, 7:44 a.m.
Created at: April 8, 2026, 9:39 p.m.