Triple

T1963952
Position Surface form Disambiguated ID Type / Status
Subject Doctor Stephen Strange E42646 entity
Predicate creator P184 FINISHED
Object Stan Lee E197263 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: Stan Lee | Statement: [Doctor Stephen Strange, creator, Stan Lee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stan Lee
Context triple: [Doctor Stephen Strange, creator, Stan Lee]
  • A. Stan Lee chosen
    Stan Lee was an iconic American comic book writer, editor, and publisher who co-created many of Marvel Comics’ most famous superheroes and helped transform the company into a cultural powerhouse.
  • B. Jack Kirby
    Jack Kirby was a pioneering American comic book artist, writer, and co-creator of many iconic Marvel superheroes, renowned for his dynamic visual style and profound influence on the medium.
  • C. Joe Simon
    Joe Simon was an American comic book writer, artist, and editor best known for co-creating the iconic superhero Captain America.
  • D. Steve Ditko
    Steve Ditko was an American comic book artist and writer best known as the co-creator of Spider-Man and Doctor Strange for Marvel Comics.
  • E. Doug McHenry
    Doug McHenry is an American film producer and director known for his work on popular African-American comedies and dramas.
  • 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_69a88711151c8190940b2572095059d7 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb3ada4148190ad830d4a3d7fd662 completed March 7, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0acd9c3c8190a6f1140a7fac1627 completed March 8, 2026, 11:48 p.m.
Created at: March 4, 2026, 7:36 p.m.