Triple

T6999327
Position Surface form Disambiguated ID Type / Status
Subject Rachel Maddow E162294 entity
Predicate employer P7 FINISHED
Object Air America Radio E208129 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: Air America Radio | Statement: [Rachel Maddow, employer, Air America Radio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Air America Radio
Context triple: [Rachel Maddow, employer, Air America Radio]
  • A. Air America Radio chosen
    Air America Radio was a progressive talk radio network in the United States that featured liberal-leaning hosts and commentary as a counterweight to conservative talk radio.
  • B. Air America
    Air America was a covert airline operated by the CIA that conducted clandestine transport, supply, and reconnaissance missions across Southeast Asia during the Vietnam era.
  • C. Kel Air
    Kel Air is a Tuareg confederation inhabiting the Aïr Mountains region of northern Niger, known for its nomadic pastoralist traditions and historical role in Saharan trade.
  • D. Eastern Airways
    Eastern Airways is a British regional airline operating scheduled passenger services across the United Kingdom and parts of Europe.
  • E. Radio America
    Radio America is a U.S.-based conservative talk radio network known for syndicating political commentary and news programs.
  • 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_69c68857ffc08190857dc62cd5253777 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dbf083b481909dd30e28e908dfdf completed March 27, 2026, 7:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a2c510c8190b7c86f8b399388ae completed March 28, 2026, 5:42 a.m.
Created at: March 27, 2026, 2:33 p.m.