Triple

T14876877
Position Surface form Disambiguated ID Type / Status
Subject Extremis E349889 entity
Predicate artist P184 FINISHED
Object Adi Granov E1090439 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: Adi Granov | Statement: [Extremis, artist, Adi Granov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adi Granov
Context triple: [Extremis, artist, Adi Granov]
  • A. Adi Granov chosen
    Adi Granov is a Bosnian-born comic book artist and conceptual designer best known for his influential work on Marvel's Iron Man comics and films.
  • B. Ulu Grosbard
    Ulu Grosbard was a Belgian-born American film and theater director known for his nuanced, character-driven dramas such as "Straight Time" and "Georgia."
  • C. Michael Tolkin
    Michael Tolkin is an American screenwriter, director, and novelist best known for works such as "The Player" and his contributions to critically acclaimed film and television projects.
  • D. Uri Nodelman
    Uri Nodelman is a philosopher and academic best known for serving as editor-in-chief of the Stanford Encyclopedia of Philosophy, a leading online reference in the field.
  • E. Dov Hoenig
    Dov Hoenig is a film editor known for his work on major Hollywood movies, including the neo-noir science fiction film "Dark City."
  • 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5e4e4448190a8796573bc6d1069 completed April 15, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b54ad7c819082575245da07e358 completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 1:55 a.m.