Triple

T4579263
Position Surface form Disambiguated ID Type / Status
Subject Snowden (2016 film) E101813 entity
Predicate basedOnWorkAuthor P2806 FINISHED
Object Luke Harding E229319 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: Luke Harding | Statement: [Snowden (2016 film), basedOnWorkAuthor, Luke Harding]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luke Harding
Context triple: [Snowden (2016 film), basedOnWorkAuthor, Luke Harding]
  • A. Luke Harding chosen
    Luke Harding is a British journalist and author known for his investigative reporting on Russia, espionage, and international affairs, including works that inspired the film "The Fifth Estate."
  • B. Jon Sopel
    Jon Sopel is a British journalist and broadcaster best known for his work as a BBC correspondent and news presenter.
  • C. Edward Luce
    Edward Luce is a British journalist and author best known as a senior columnist and commentator on U.S. politics and global affairs for the Financial Times.
  • D. David Leigh
    David Leigh is a British investigative journalist and author known for his work on political scandals and intelligence matters, including material that inspired the film "The Fifth Estate."
  • E. Jamie Bartlett
    Jamie Bartlett was a South African actor best known for his powerful performances in television dramas and films, particularly in the crime and thriller genres.
  • 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_69bd43d4ce208190b53158c882b222e3 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd58e3e028819083c4662deb9f3c03 completed March 20, 2026, 2:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdd3f532dc81909b6c464defada832 completed March 20, 2026, 11:10 p.m.
Created at: March 20, 2026, 1:10 p.m.