Triple

T6162109
Position Surface form Disambiguated ID Type / Status
Subject Get Smart E137465 entity
Predicate starring P1507 FINISHED
Object Terence Stamp E117801 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: Terence Stamp | Statement: [Get Smart, starring, Terence Stamp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terence Stamp
Context triple: [Get Smart, starring, Terence Stamp]
  • A. Terence Stamp chosen
    Terence Stamp is an English actor known for his distinctive presence and performances in films such as "The Collector," "Superman II," and "The Limey."
  • B. Joss Ackland
    Joss Ackland is a distinguished English actor known for his extensive film, television, and stage career, often portraying authoritative or villainous characters.
  • C. Anthony Ainley
    Anthony Ainley was an English actor best known for playing the villainous Time Lord known as the Master in the long-running British science fiction series Doctor Who.
  • D. Kenneth Cranham
    Kenneth Cranham is a Scottish character actor known for his extensive work in British film, television, and theatre, often portraying authoritative or villainous roles.
  • E. Adrian Scarborough
    Adrian Scarborough is a British character actor known for his versatile supporting roles in film, television, and theatre, often in period dramas and dark comedies.
  • 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_69c008a54fc88190b6ce4416490ca79d completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05d371484819090c18b62b095b49e completed March 22, 2026, 9:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c243cbd38081909169c57c55696ff6 completed March 24, 2026, 7:57 a.m.
Created at: March 22, 2026, 4:17 p.m.