Triple

T18508028
Position Surface form Disambiguated ID Type / Status
Subject John "Sully" Sullivan E452250 entity
Predicate nickname P55 FINISHED
Object Sully NE NERFINISHED

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: Sully | Statement: [John "Sully" Sullivan, nickname, Sully]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sully
Context triple: [John "Sully" Sullivan, nickname, 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 chosen
    Sully is a masculine given name, often used as a diminutive or nickname for names like Sullivan.
  • E. City of Sully
    City of Sully is a small incorporated community located in Jasper County, Iowa, in the United States.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d386df84819092355ebb260d848e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53344033c8190a0883aef56ba79c3 completed April 19, 2026, 7:55 p.m.
Created at: April 10, 2026, 11:36 a.m.