Triple

T6635276
Position Surface form Disambiguated ID Type / Status
Subject Hank Mann E150432 entity
Predicate name P16 FINISHED
Object Hank Mann E150432 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: Hank Mann | Statement: [Hank Mann, name, Hank Mann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hank Mann
Context triple: [Hank Mann, name, Hank Mann]
  • A. Hank Mann chosen
    Hank Mann was a prolific silent film comedian and character actor, best known as one of the original Keystone Cops and for his numerous supporting roles in early Hollywood comedies.
  • B. William Parcher
    William Parcher is a mysterious, menacing government agent who appears as a figment of John Nash’s delusions in the film "A Beautiful Mind."
  • C. Jack Sullivan
    Jack Sullivan was a film industry professional recognized for his work in early Hollywood, notably earning the Academy Award for Best Assistant Director.
  • D. Leon Ames
    Leon Ames was an American character actor best known for his prolific film and television career from the 1930s through the 1970s, often portraying dignified fathers, professionals, and authority figures.
  • E. Major William Cage
    Major William Cage is the protagonist of the science fiction film "Edge of Tomorrow," a military public affairs officer who becomes caught in a time loop while fighting an alien invasion.
  • 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_69c687f0ceb08190bf40807bfc605fa5 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6afcc1c9c819087fcde19a5d49fd2 completed March 27, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cbf71874819080cc89b6740b1567 completed March 27, 2026, 6:27 p.m.
Created at: March 27, 2026, 1:59 p.m.