Triple

T13114690
Position Surface form Disambiguated ID Type / Status
Subject Paul King E311062 entity
Predicate name P16 FINISHED
Object Paul King E311062 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: Paul King | Statement: [Paul King, name, Paul King]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul King
Context triple: [Paul King, name, Paul King]
  • A. Paul King chosen
    Paul King is a British filmmaker and screenwriter best known for directing the critically acclaimed Paddington films.
  • B. Paul King
    Paul King is a screenwriter and storyteller known for contributing to the narrative of the classic submarine comedy film "Operation Petticoat."
  • C. Phil Lord
    Phil Lord is an American filmmaker, writer, and producer best known for his inventive, comedic work on projects like The Lego Movie and the 21 Jump Street and Spider-Verse films.
  • D. Joe Cornish
    Joe Cornish is a British filmmaker, comedian, and writer best known for his work on the sci-fi film "Attack the Block" and his collaborations with Edgar Wright.
  • E. Michael Arndt
    Michael Arndt is an Academy Award–winning American screenwriter known for acclaimed films such as Little Miss Sunshine and Toy Story 3.
  • 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98180b6ac8190ae5a1f7c1480bd54 completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e28105c481908781775ba489c296 completed May 3, 2026, 5:52 a.m.
Created at: April 9, 2026, 9:06 p.m.