Triple

T12893444
Position Surface form Disambiguated ID Type / Status
Subject Chesley Sullenberger E308427 entity
Predicate familyName P18 FINISHED
Object Sullenberger
Sullenberger is the surname of Chesley "Sully" Sullenberger, the American airline captain renowned for safely landing US Airways Flight 1549 on the Hudson River in 2009.
 E62647 NE FINISHED

How this triple was built (4 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: Sullenberger | Statement: [Chesley Sullenberger, familyName, Sullenberger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sullenberger
Context triple: [Chesley Sullenberger, familyName, Sullenberger]
  • A. 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.
  • B. Sully
    Sully is a masculine given name, often used as a diminutive or nickname for names like Sullivan.
  • C. Sully
    Sully is the given name of François Sully Prudhomme, a French individual identifiable by this personal name.
  • D. Sully
    Sully is a coastal village and community in the Vale of Glamorgan, Wales, known for its seaside location and residential character.
  • E. The Finest Hours
    The Finest Hours is a 2016 American disaster drama film depicting the true story of a daring U.S. Coast Guard rescue off the New England coast during a brutal 1952 nor’easter.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sullenberger
Triple: [Chesley Sullenberger, familyName, Sullenberger]
Generated description
Sullenberger is the surname of Chesley "Sully" Sullenberger, the American airline captain renowned for safely landing US Airways Flight 1549 on the Hudson River in 2009.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sullenberger
Target entity description: Sullenberger is the surname of Chesley "Sully" Sullenberger, the American airline captain renowned for safely landing US Airways Flight 1549 on the Hudson River in 2009.
  • A. Sully
    Sully is the given name of François Sully Prudhomme, a French individual identifiable by this personal name.
  • B. Sully
    Sully is a masculine given name, often used as a diminutive or nickname for names like Sullivan.
  • C. Sully chosen
    "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.
  • D. Sully
    Sully is a coastal village and community in the Vale of Glamorgan, Wales, known for its seaside location and residential character.
  • E. The Finest Hours
    The Finest Hours is a 2016 American disaster drama film depicting the true story of a daring U.S. Coast Guard rescue off the New England coast during a brutal 1952 nor’easter.
  • F. None of above.

Provenance (5 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_69d7bdf7c1f0819098102569a8d8cbf5 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971484aa08190a8adfafabe600903 completed April 10, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbbb199081909c32575097fbc2bf completed May 3, 2026, 4:14 a.m.
NEDg Description generation batch_69f6cea882d48190add88a8463f7d544 completed May 3, 2026, 4:27 a.m.
NED2 Entity disambiguation (via description) batch_69f6cf72a0cc8190bf8b6d606b8d0987 completed May 3, 2026, 4:30 a.m.
Created at: April 9, 2026, 5:40 p.m.