Triple

T12894064
Position Surface form Disambiguated ID Type / Status
Subject Sebastian Koch E308445 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: [Sebastian Koch, notableWork, Bridge of Spies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bridge of Spies
Context triple: [Sebastian Koch, 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_69d7bdf7c1f0819098102569a8d8cbf5 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971484aa08190a8adfafabe600903 completed April 10, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a55daf788190be72af98b288bd70 completed May 3, 2026, 1:31 a.m.
Created at: April 9, 2026, 5:40 p.m.