Triple

T13278796
Position Surface form Disambiguated ID Type / Status
Subject N106US E316262 entity
Predicate notableEvent P259 FINISHED
Object Miracle on the Hudson E80715 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: Miracle on the Hudson | Statement: [N106US, notableEvent, Miracle on the Hudson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miracle on the Hudson
Context triple: [N106US, notableEvent, Miracle on the Hudson]
  • A. US Airways Flight 1549 chosen
    US Airways Flight 1549 was the 2009 passenger flight that famously ditched in the Hudson River after a bird strike disabled both engines, with all 155 people on board surviving.
  • B. Sully
    "Sully" is a biographical drama film starring Tom Hanks as pilot Chesley "Sully" Sullenberger, depicting the emergency landing of US Airways Flight 1549 on the Hudson River.
  • C. Sully
    Sully is the given name of François Sully Prudhomme, a French individual identifiable by this personal name.
  • D. Sully
    Sully is a masculine given name, often used as a diminutive or nickname for names like Sullivan.
  • E. Sully
    Sully is a coastal village and community in the Vale of Glamorgan, Wales, known for its seaside location and residential character.
  • 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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99043fba88190872ede6f63e2fbcb completed April 11, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a56fa048190b32dcef31b978d9c completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 9:26 p.m.