Triple

T15949907
Position Surface form Disambiguated ID Type / Status
Subject Sanctuary E386786 entity
Predicate executiveProducer P7225 FINISHED
Object Martin Wood E1188247 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: Martin Wood | Statement: [Sanctuary, executiveProducer, Martin Wood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martin Wood
Context triple: [Sanctuary, executiveProducer, Martin Wood]
  • A. Martin Wood chosen
    Martin Wood is a Canadian television director best known for his extensive work on science fiction series such as Stargate SG-1, Stargate Atlantis, and Sanctuary.
  • B. Anthony Wood
    Anthony Wood was a 17th-century English antiquary and historian best known for his detailed works on the history and biography of the University of Oxford.
  • C. Anthony Wood
    Anthony Wood is a technology entrepreneur best known as the founder and CEO of Roku, a leading streaming media platform.
  • D. Anthony Wood
    Anthony Wood is a central character in the 1973 mystery film "The Last of Sheila," involved in a complex whodunit plot surrounding a deadly yacht party game.
  • E. Philip Snowden
    Philip Snowden was a British Labour politician and economist who became the first Labour Chancellor of the Exchequer, known for his strict adherence to fiscal orthodoxy during the interwar period.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156d4c5008190a56ebf8c28f712dc completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf14ab088190b1d2f1f6b18bf85d completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 4:53 a.m.