Triple

T20492713
Position Surface form Disambiguated ID Type / Status
Subject Terence Stamp E502785 entity
Predicate sibling P363 FINISHED
Object Brian Stamp NE NERFINISHED

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: Brian Stamp | Statement: [Terence Stamp, sibling, Brian Stamp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brian Stamp
Context triple: [Terence Stamp, sibling, Brian Stamp]
  • A. Brian Stamp chosen
    Brian Stamp is a sibling of acclaimed English actor Terence Stamp, known primarily in relation to his famous brother.
  • B. Brian Stimpson
    Brian Stimpson is the obsessively punctual and increasingly frazzled headmaster portrayed by John Cleese in the British comedy film "Clockwise."
  • C. Bill Staines
    Bill Staines was an American folk singer-songwriter known for his warm baritone voice, storytelling lyrics, and enduring songs that became staples of the contemporary folk repertoire.
  • D. Matthew Stagg
    Matthew Stagg is a British child actor known for his roles in horror and thriller films, including the 2017 movie "Marrowbone."
  • E. Brian Jessop
    Brian Jessop is a relatively obscure individual about whom no widely known public information is available.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4b0373881909dd3e9387f82eab4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69cbb3bd081909351525208b41bba completed April 20, 2026, 9:38 p.m.
Created at: April 16, 2026, 11:35 a.m.