Triple

T14610305
Position Surface form Disambiguated ID Type / Status
Subject Hancock (film) E342941 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: [Hancock (film), producer, Michael Mann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Mann
Context triple: [Hancock (film), producer, Michael Mann]
  • A. 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.
  • B. Michael Mann chosen
    Michael Mann is an American filmmaker renowned for his stylish, atmospheric crime dramas and thrillers such as "Heat," "Collateral," and "Manhunter."
  • C. 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.
  • 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 is an American actor best known for starring as Victor Salazar in the Hulu/Disney+ teen drama series "Love, Victor."
  • 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb44f0dd48190a78662b5998a6722 completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda91d05e48190ac945e381d6d5dd9 completed May 8, 2026, 9:13 a.m.
Created at: April 10, 2026, 1:25 a.m.