Triple

T5554218
Position Surface form Disambiguated ID Type / Status
Subject Kerry Bishé E145597 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: [Kerry Bishé, notableWork, Argo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Argo
Context triple: [Kerry Bishé, 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_69c008fcaf788190bafa02a1917ee73b completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01ff9c9c48190b5e587d58c6515d8 completed March 22, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c097b96f708190a40b67e32e4b4b47 completed March 23, 2026, 1:30 a.m.
Created at: March 22, 2026, 3:36 p.m.