Triple

T3878957
Position Surface form Disambiguated ID Type / Status
Subject Bryan Cranston E92573 entity
Predicate notableWork P4 FINISHED
Object Argo E25479 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: Argo | Statement: [Bryan Cranston, notableWork, Argo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Argo
Context triple: [Bryan Cranston, notableWork, Argo]
  • A. Argo chosen
    Argo is a 2012 political thriller film directed by Ben Affleck that dramatizes a covert operation to rescue American hostages from Iran during the 1979–1981 crisis.
  • B. Argo
    Argo is the legendary ship of Greek mythology that carried Jason and the Argonauts on their quest for the Golden Fleece.
  • C. Captain Phillips
    Captain Phillips is a 2013 biographical thriller film starring Tom Hanks that dramatizes the 2009 hijacking of the Maersk Alabama by Somali pirates.
  • D. 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.
  • 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_69aed967448c819086c4b358d37b25aa completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec7438808190b6c90fcb3000ebe9 completed March 9, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51253da2081908689f06975fb4db1 completed March 14, 2026, 7:46 a.m.
Created at: March 9, 2026, 3:20 p.m.