Triple

T728311
Position Surface form Disambiguated ID Type / Status
Subject Spirit of St. Louis E14776 entity
Predicate aircraftType P1524 FINISHED
Object Ryan NYP E48095 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: Ryan NYP | Statement: [Spirit of St. Louis, aircraftType, Ryan NYP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ryan NYP
Context triple: [Spirit of St. Louis, aircraftType, Ryan NYP]
  • A. Ryan NYP chosen
    Ryan NYP is the custom-built monoplane famously flown by Charles Lindbergh on the first solo nonstop transatlantic flight in 1927, known as the Spirit of St. Louis.
  • B. Nate Rogers
    Nate Rogers is a notable individual who shares the Rogers surname and has achieved enough recognition to be specifically identified among its bearers.
  • C. Ryan
    Ryan is a masculine given name of Irish origin that is widely used in English-speaking countries.
  • D. Ryan Poles
    Ryan Poles is an American football executive who serves as the general manager responsible for overseeing roster construction and football operations for the NFL’s Chicago Bears.
  • E. Jack Yellen
    Jack Yellen was an American lyricist and screenwriter best known for writing popular songs such as "Happy Days Are Here Again" and contributing to numerous early Hollywood films.
  • 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_69a4934c753c81909b309027e48b9b3a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5c155908190a73a40195f6281b1 completed March 1, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6375e24248190b53efa0bfc29567a completed March 3, 2026, 1:20 a.m.
Created at: March 1, 2026, 7:37 p.m.