Triple

T14779682
Position Surface form Disambiguated ID Type / Status
Subject The Return of Jafar E347356 entity
Predicate voiceActor P1507 FINISHED
Object Jonathan Freeman E347354 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: Jonathan Freeman | Statement: [The Return of Jafar, voiceActor, Jonathan Freeman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonathan Freeman
Context triple: [The Return of Jafar, voiceActor, Jonathan Freeman]
  • A. Jonathan Freeman chosen
    Jonathan Freeman is an American actor and singer best known for voicing the villainous Jafar in Disney’s animated film Aladdin.
  • B. Jonathan Freeman
    Jonathan Freeman is a Canadian cinematographer renowned for his work on high-profile films and television series, often noted for his atmospheric visual style.
  • C. James Bassett
    James Bassett was an American novelist best known for writing the World War II naval novel "Harm's Way," which was adapted into the 1965 film "In Harm's Way."
  • D. Oliver Hudson
    Oliver Hudson is an American actor known for his roles in television series such as "Rules of Engagement," "Nashville," and "Scream Queens."
  • E. Dorian Harewood
    Dorian Harewood is an American actor known for his work in film, television, and voice acting, including roles in projects such as Full Metal Jacket and the animated series Batman.
  • 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deca9c7cac8190ba900df95e42e318 completed April 14, 2026, 11:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b4531fc819084d9ab1c86cb540c completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 1:31 a.m.