Triple

T14625964
Position Surface form Disambiguated ID Type / Status
Subject Kristie Macosko Krieger E343345 entity
Predicate notableWork P4 FINISHED
Object Bridge of Spies E62650 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: Bridge of Spies | Statement: [Kristie Macosko Krieger, notableWork, Bridge of Spies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bridge of Spies
Context triple: [Kristie Macosko Krieger, notableWork, Bridge of Spies]
  • A. Bridge of Spies chosen
    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.
  • B. Citizenfour
    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.
  • C. The Americans
    The Americans is a groundbreaking 1958 photography book by Robert Frank that offers a raw, unvarnished portrait of mid-20th-century American life and culture.
  • D. The Americans
    The Americans is a critically acclaimed FX television drama series about two Soviet KGB officers posing as a married American couple in suburban Washington, D.C. during the Cold War.
  • E. Argo
    Argo is a popular open-source suite of Kubernetes-native tools for running and managing container-native workflows, applications, and continuous delivery pipelines.
  • 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb46a4a9081908472b0a542028a7f completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda92a6b9c8190bdb220444cfbe34a completed May 8, 2026, 9:13 a.m.
Created at: April 10, 2026, 1:26 a.m.