Triple

T13162813
Position Surface form Disambiguated ID Type / Status
Subject Autumn Reeser E312767 entity
Predicate hasActedIn P15620 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 and its aftermath.
 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: [Autumn Reeser, hasActedIn, Sully]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sully
Context triple: [Autumn Reeser, hasActedIn, Sully]
  • A. Sully
    Sully is a coastal village and community in the Vale of Glamorgan, Wales, known for its seaside location and residential character.
  • 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. 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: [Autumn Reeser, hasActedIn, 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 and its aftermath.
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 and its aftermath.
  • 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_69d806ac3ee081909b2fd27d060aa974 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c0a9d348190909fcf45f9d650e4 completed April 10, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f71f13a63c81909335c0a45c3f7eca completed May 3, 2026, 10:10 a.m.
NEDg Description generation batch_69f7220def9081908335441ff5134444 completed May 3, 2026, 10:23 a.m.
NED2 Entity disambiguation (via description) batch_69f7228d90888190be3ad818cdb75ed9 completed May 3, 2026, 10:25 a.m.
Created at: April 9, 2026, 9:12 p.m.