Triple

T1258662
Position Surface form Disambiguated ID Type / Status
Subject Timothy Spall E12448 entity
Predicate child P120 FINISHED
Object Rafe 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: Rafe Spall | Statement: [Timothy Spall, child, Rafe Spall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rafe Spall
Context triple: [Timothy Spall, child, Rafe 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. Ben Whishaw
    Ben Whishaw is an English actor known for his versatile performances in film, television, and theatre, including roles such as Q in the James Bond series and the voice of Paddington Bear.
  • D. 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."
  • E. Michael Sheen
    Michael Sheen is a Welsh actor known for his versatile performances in film, television, and theatre, including prominent roles in projects like "Frost/Nixon," "The Queen," and "Good Omens."
  • 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_69ad231d1bdc8190bceaafcf86544bf1 completed March 8, 2026, 7:19 a.m.
Created at: March 1, 2026, 7:50 p.m.