Triple

T3538024
Position Surface form Disambiguated ID Type / Status
Subject Small Axe: Red, White and Blue E74812 entity
Predicate castMember P1668 FINISHED
Object Sam Spruell E359216 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: Sam Spruell | Statement: [Small Axe: Red, White and Blue, castMember, Sam Spruell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sam Spruell
Context triple: [Small Axe: Red, White and Blue, castMember, Sam Spruell]
  • A. Sam Spruell chosen
    Sam Spruell is a British actor known for his intense character roles in film and television, often portraying villains or morally complex figures.
  • B. Paul Millspaugh
    Paul Millspaugh is a film editor known for his work on the romantic comedy "Two Can Play That Game."
  • C. Paul Bransom
    Paul Bransom was an American illustrator and wildlife artist best known for his detailed animal drawings in early 20th-century books and magazines.
  • D. Stone Crandall
    Stone Crandall is a handsome, overconfident alpha-male character in the 2015 comedy film "Vacation," known for his outrageous antics and exaggerated masculinity.
  • E. Tom Burwell
    Tom Burwell is a central character in Jean Toomer’s modernist work "Cane," representing the struggles and inner life of African Americans in the rural South.
  • 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_69ad85d274cc8190ab59c97298a1cfbf completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbcc928248190b851f8280d58cfcf completed March 8, 2026, 6:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38bd4d5f4819095c962f01fc6f7e8 completed March 13, 2026, 4 a.m.
Created at: March 8, 2026, 3:20 p.m.