Triple

T1258661
Position Surface form Disambiguated ID Type / Status
Subject Timothy Spall E12448 entity
Predicate spouse P13 FINISHED
Object Shane Spall E135879 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: Shane Spall | Statement: [Timothy Spall, spouse, Shane Spall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shane Spall
Context triple: [Timothy Spall, spouse, Shane Spall]
  • A. Rafe Spall chosen
    Rafe Spall is an English actor known for his roles in films such as "Life of Pi," "The Big Short," and "Hot Fuzz," as well as various television and stage productions.
  • B. Russell Tovey
    Russell Tovey is an English actor known for his work in television, film, and theatre, including prominent roles in series such as "Being Human," "Looking," and "Years and Years."
  • C. Jack Lowden
    Jack Lowden is a Scottish actor known for his acclaimed performances in film, television, and theatre, including a prominent role in Christopher Nolan’s war drama "Dunkirk."
  • D. David Bamber
    David Bamber is an English actor known for his character roles in British television and film, including his portrayal of Mr. Collins in the 1995 adaptation of "Pride and Prejudice."
  • E. Matthew Goode
    Matthew Goode is an English actor known for his roles in films such as "Match Point," "The Imitation Game," and "Stoker," as well as TV series like "Downton Abbey" and "The Good Wife."
  • 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_69a4933352e08190ac617291985e76c0 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4bfc3a2848190891e73b351019d5b completed March 1, 2026, 10:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad1c93bbe8819092dab6a3ed616998 completed March 8, 2026, 6:52 a.m.
Created at: March 1, 2026, 7:50 p.m.