Triple

T6596561
Position Surface form Disambiguated ID Type / Status
Subject Anthony Mann E148490 entity
Predicate fullName P16 FINISHED
Object Anthony Mann E148490 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: Anthony Mann | Statement: [Anthony Mann, fullName, Anthony Mann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anthony Mann
Context triple: [Anthony Mann, fullName, Anthony Mann]
  • A. Anthony Mann chosen
    Anthony Mann was an American film director best known for his psychologically complex film noirs and influential 1950s Westerns.
  • B. Budd Boetticher
    Budd Boetticher was an American film director best known for his influential 1950s Westerns, particularly a series of minimalist, psychologically driven films starring Randolph Scott.
  • C. Don Siegel
    Don Siegel was an American film director best known for his taut, hard-edged action and crime dramas, including classics like "Dirty Harry" and "Invasion of the Body Snatchers."
  • D. Robert Benton
    Robert Benton is an American film director and screenwriter best known for his Academy Award–winning work on dramas such as "Kramer vs. Kramer."
  • E. Delbert Mann
    Delbert Mann was an American film and television director best known for his Academy Award–winning work on the 1955 film "Marty" and for helping bring intimate, character-driven dramas from live television to the big screen.
  • 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_69c687e7b8688190811ffee72e096468 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6aeecdd4c819092b87f4c91883154 completed March 27, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6eedfe3a88190a1d7fda9ff0dc9bd completed March 27, 2026, 8:56 p.m.
Created at: March 27, 2026, 1:56 p.m.