Triple

T5002193
Position Surface form Disambiguated ID Type / Status
Subject McGee Airways E112399 entity
Predicate namedAfter P63 FINISHED
Object Linious McGee E121820 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: Linious McGee | Statement: [McGee Airways, namedAfter, Linious McGee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Linious McGee
Context triple: [McGee Airways, namedAfter, Linious McGee]
  • A. Linious McGee chosen
    Linious McGee was an American aviation pioneer and entrepreneur who co-founded the airline that would eventually become Alaska Airlines.
  • B. Tanee McCall
    Tanee McCall is an American actress and professional dancer known for her roles in film and television, including action and dance-focused projects.
  • C. Mattie Della Shaw
    Mattie Della Shaw was the mother of the American musician Prince, who played a significant role in his early life and musical upbringing.
  • D. Mattie Jackson
    Mattie Jackson is the daughter of American country music singer Alan Jackson and an author known for her memoir and work in faith-based and charitable initiatives.
  • E. Dani Dennison
    Dani Dennison is a brave and spirited young girl in the film "Hocus Pocus" who helps her brother battle resurrected witches on Halloween night.
  • 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_69bd4433d0b08190877e83959ef40d81 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd72bf0de08190a07419514afc3a06 completed March 20, 2026, 4:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c54ff088190b1be52c080ebb02d completed March 21, 2026, 1:25 p.m.
Created at: March 20, 2026, 1:34 p.m.