Triple

T10469174
Position Surface form Disambiguated ID Type / Status
Subject Nil by Mouth E246880 entity
Predicate writer P1360 FINISHED
Object Gary Oldman E58406 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: Gary Oldman | Statement: [Nil by Mouth, writer, Gary Oldman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gary Oldman
Context triple: [Nil by Mouth, writer, Gary Oldman]
  • A. Gary Oldman chosen
    Gary Oldman is an acclaimed English actor known for his intense versatility and transformative performances across films such as "Sid and Nancy," "Bram Stoker’s Dracula," "The Dark Knight" trilogy, and "Darkest Hour."
  • B. John Hurt
    John Hurt was an acclaimed English actor known for his distinctive voice and powerful performances in films such as "The Elephant Man," "Alien," and "Midnight Express."
  • C. Brian Michael Cox
    Brian Michael Cox is a Grammy-winning American songwriter and record producer known for his work on numerous R&B and pop hits.
  • D. Bill Nighy
    Bill Nighy is an English actor known for his distinctive voice and acclaimed performances in films such as "Love Actually," "Pirates of the Caribbean," and "About Time."
  • E. Timothy Spall
    Timothy Spall is an English character actor known for his versatile performances in film and television, including notable roles in the Harry Potter series, Mike Leigh’s dramas, and various acclaimed British productions.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5092fa6048190b26d481ddc3e3ec2 completed April 7, 2026, 1:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dc5c26a88190aab4a590c20191a3 completed April 10, 2026, 11:17 a.m.
Created at: April 6, 2026, 12:20 p.m.