Triple

T3313595
Position Surface form Disambiguated ID Type / Status
Subject Aladdin (1992 film) E69628 entity
Predicate storyBy P1955 FINISHED
Object Ted Elliott E303053 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: Ted Elliott | Statement: [Aladdin (1992 film), storyBy, Ted Elliott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ted Elliott
Context triple: [Aladdin (1992 film), storyBy, Ted Elliott]
  • A. Ted Elliott chosen
    Ted Elliott is an American screenwriter best known for co-writing the hit "Pirates of the Caribbean" film series and other major Hollywood blockbusters.
  • B. Alan Ford
    Alan Ford is a British character actor best known for his tough-guy and gangster roles in films by director Guy Ritchie.
  • C. Mark Fergus
    Mark Fergus is an American screenwriter and filmmaker best known for co-writing acclaimed films such as "Children of Men" and "Iron Man."
  • D. Brian MacDevitt
    Brian MacDevitt is a Tony Award–winning American lighting designer renowned for his work on numerous high-profile Broadway productions.
  • E. Paul Darrow
    Paul Darrow was the son of famed American lawyer Clarence Darrow and a businessman who managed many of his father's financial affairs.
  • 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_69ad85a0bb048190a5458d2738012d61 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0ef548481908b3aabc7052c70d8 completed March 8, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a759a3c81908105eae7fd856133 completed March 12, 2026, 7:56 p.m.
Created at: March 8, 2026, 3:11 p.m.