Triple

T13472227
Position Surface form Disambiguated ID Type / Status
Subject George Emerson E318156 entity
Predicate portrayedBy P1507 FINISHED
Object Julian Sands E321138 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: Julian Sands | Statement: [George Emerson, portrayedBy, Julian Sands]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Julian Sands
Context triple: [George Emerson, portrayedBy, Julian Sands]
  • A. Julian Sands chosen
    Julian Sands was an English actor known for his distinctive presence in films such as "A Room with a View," "Warlock," and "The Killing Fields."
  • B. Christopher Atkins
    Christopher Atkins is an American actor best known for his breakout role in the 1980 film "The Blue Lagoon."
  • C. Dorian Harewood
    Dorian Harewood is an American actor known for his work in film, television, and voice acting, including roles in projects such as Full Metal Jacket and the animated series Batman.
  • D. Martin Clunes
    Martin Clunes is an English actor and comedian best known for his lead role in the television series "Doc Martin" and his work on the sitcom "Men Behaving Badly."
  • E. Michael York
    Michael York is an English actor known for his roles in films such as "Cabaret," "Logan's Run," and the "Austin Powers" series.
  • 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf22e5f88190b1078f006c8ef7c0 completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7942424bc8190af98462f6b7a93a4 completed May 3, 2026, 6:29 p.m.
Created at: April 9, 2026, 9:42 p.m.