Triple

T861938
Position Surface form Disambiguated ID Type / Status
Subject Edward Snowden E18616 entity
Predicate subjectOf P38 FINISHED
Object Citizenfour E80205 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: Citizenfour | Statement: [Edward Snowden, subjectOf, Citizenfour]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Citizenfour
Context triple: [Edward Snowden, subjectOf, Citizenfour]
  • A. Citizenfour chosen
    Citizenfour is a 2014 documentary film by Laura Poitras that chronicles Edward Snowden’s revelations about global mass surveillance by the U.S. National Security Agency.
  • B. Bridge of Spies
    Bridge of Spies is a 2015 historical drama film directed by Steven Spielberg, in which Tom Hanks stars as a lawyer negotiating a Cold War spy exchange between the United States and the Soviet Union.
  • C. The Fifth Estate
    The Fifth Estate is a 2013 biographical thriller film that dramatizes the rise of WikiLeaks and its controversial founder Julian Assange.
  • D. The Fifth Estate
    The Fifth Estate is a long-running Canadian investigative journalism television program known for its in-depth reporting and exposés on major public-interest issues.
  • E. Syriana
    "Syriana" is a 2005 geopolitical thriller film that interweaves multiple storylines to explore the complexities of the global oil industry, U.S. foreign policy, and Middle Eastern politics.
  • 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_69a4938ce8688190a24bdfef82ba7d21 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac6631408190a19b83126fa86100 completed March 1, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7a3c5c15c8190a91eb3746007ebf5 completed March 4, 2026, 3:15 a.m.
Created at: March 1, 2026, 7:39 p.m.