Triple

T1952031
Position Surface form Disambiguated ID Type / Status
Subject Gods of Egypt E42179 entity
Predicate producer P490 FINISHED
Object Alex Proyas E219127 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: Alex Proyas | Statement: [Gods of Egypt, producer, Alex Proyas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alex Proyas
Context triple: [Gods of Egypt, producer, Alex Proyas]
  • A. Alex Proyas chosen
    Alex Proyas is an Egyptian-born Australian film director known for visually stylized, genre-bending movies such as "The Crow" and "Dark City."
  • B. Gabriel Mann
    Gabriel Mann is an American actor best known for his role as tech genius Nolan Ross on the television drama series "Revenge."
  • C. Gabriel Mann
    Gabriel Mann is an American composer and musician best known for scoring television series such as "Modern Family" and "A Million Little Things."
  • D. Christopher Nolan
    Christopher Nolan is a British-American filmmaker renowned for his intellectually ambitious, visually striking blockbusters such as Inception, The Dark Knight trilogy, and Interstellar.
  • E. Jonathan Nolan
    Jonathan Nolan is a British-American screenwriter, director, and producer best known for co-creating the TV series "Westworld" and writing screenplays for films such as "The Dark Knight" and "Interstellar."
  • 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_69a8870e08fc8190a319cbf2600db15f completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb34eb5748190a3ac395252951eba completed March 7, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae031a46d481908a6e0d78bfa9c66f completed March 8, 2026, 11:15 p.m.
Created at: March 4, 2026, 7:36 p.m.