Triple

T10589042
Position Surface form Disambiguated ID Type / Status
Subject Lord Cutler Beckett E249932 entity
Predicate createdBy P806 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: [Lord Cutler Beckett, createdBy, Ted Elliott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ted Elliott
Context triple: [Lord Cutler Beckett, createdBy, 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_69d381c9d3d48190a29ee491e1696a0e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5277a39f08190848f24752cfa4b8f completed April 7, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b9440548190bff01847a940266b completed April 10, 2026, 7:12 p.m.
Created at: April 6, 2026, 12:40 p.m.