Triple

T10467101
Position Surface form Disambiguated ID Type / Status
Subject Blackhat E246825 entity
Predicate producer P490 FINISHED
Object Michael Mann E57782 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: Michael Mann | Statement: [Blackhat, producer, Michael Mann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Mann
Context triple: [Blackhat, producer, Michael Mann]
  • A. Michael Mann chosen
    Michael Mann is an American filmmaker renowned for his stylish, atmospheric crime dramas and thrillers such as "Heat," "Collateral," and "Manhunter."
  • B. Michael Mann
    Michael Mann was a German sociologist and political scientist, son of writer Thomas Mann, known for his work on the sociology of power and social structures.
  • C. Michael Mann
    Michael Mann is a British historical sociologist known for his influential multi-volume work "The Sources of Social Power," which analyzes the development of societies through interrelated power networks.
  • D. Brad Anderson
    Brad Anderson is an American film and television director known for psychological thrillers and genre films such as "The Machinist" and "Session 9."
  • E. Michael Cimino
    Michael Cimino was an American film director and screenwriter best known for his ambitious, visually striking dramas and his Oscar-winning work on the Vietnam War epic "The Deer Hunter."
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5092e3230819098ab444f73c9bd40 completed April 7, 2026, 1:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dc5c26a88190aab4a590c20191a3 completed April 10, 2026, 11:17 a.m.
Created at: April 6, 2026, 12:20 p.m.