Triple

T17607843
Position Surface form Disambiguated ID Type / Status
Subject Azeem E428881 entity
Predicate portrayedBy P1507 FINISHED
Object Morgan Freeman NE NERFINISHED

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: Morgan Freeman | Statement: [Azeem, portrayedBy, Morgan Freeman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morgan Freeman
Context triple: [Azeem, portrayedBy, Morgan Freeman]
  • A. Morgan Freeman chosen
    Morgan Freeman is an acclaimed American actor and narrator known for his distinctive deep voice and roles in films such as "The Shawshank Redemption," "Driving Miss Daisy," and "Million Dollar Baby."
  • B. Morgan J. Freeman
    Morgan J. Freeman is an American film and television producer and director best known for his work on youth-oriented reality series and independent films.
  • C. Danny Glover
    Danny Glover is an American actor and activist best known for his roles in films such as the "Lethal Weapon" series and "The Color Purple."
  • D. James Earl Jones
    James Earl Jones is an acclaimed American actor renowned for his deep, resonant voice, famously providing the voice of Darth Vader in Star Wars and Mufasa in The Lion King.
  • E. James Avery
    James Avery was an American actor best known for his role as Philip Banks on the television sitcom "The Fresh Prince of Bel-Air."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e1c6148190ba76241e74688f8b completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46c4d8374819097cb112fba405e77 completed April 19, 2026, 5:46 a.m.
Created at: April 10, 2026, 5:51 a.m.