Triple

T12893513
Position Surface form Disambiguated ID Type / Status
Subject Blu Murray E308429 entity
Predicate edited P1932 FINISHED
Object Sully
Sully is a 2016 biographical drama film directed by Clint Eastwood that chronicles pilot Chesley "Sully" Sullenberger’s emergency landing of US Airways Flight 1549 on the Hudson River.
 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: Sully | Statement: [Blu Murray, edited, Sully]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sully
Context triple: [Blu Murray, edited, Sully]
  • 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 coastal village and community in the Vale of Glamorgan, Wales, known for its seaside location and residential character.
  • 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. 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: Sully
Triple: [Blu Murray, edited, Sully]
Generated description
Sully is a 2016 biographical drama film directed by Clint Eastwood that chronicles pilot Chesley "Sully" Sullenberger’s emergency landing of US Airways Flight 1549 on the Hudson River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sully
Target entity description: Sully is a 2016 biographical drama film directed by Clint Eastwood that chronicles pilot Chesley "Sully" Sullenberger’s emergency landing of US Airways Flight 1549 on the Hudson River.
  • A. 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.
  • B. Sully
    Sully is a coastal village and community in the Vale of Glamorgan, Wales, known for its seaside location and residential character.
  • 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. 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_69f6eaca8958819086df70db2ba497a5 completed May 3, 2026, 6:27 a.m.
NEDg Description generation batch_69f6eea871588190b18d3987ee1a9bf2 completed May 3, 2026, 6:43 a.m.
NED2 Entity disambiguation (via description) batch_69f6ef02a6848190849876a0a6f32ffd completed May 3, 2026, 6:45 a.m.
Created at: April 9, 2026, 5:40 p.m.