Triple

T10396358
Position Surface form Disambiguated ID Type / Status
Subject Hustle E245031 entity
Predicate mainCharacter P1183 FINISHED
Object Albert Stroller E791958 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: Albert Stroller | Statement: [Hustle, mainCharacter, Albert Stroller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Albert Stroller
Context triple: [Hustle, mainCharacter, Albert Stroller]
  • A. Albert Stroller chosen
    Albert Stroller is a suave, veteran con artist character from the British television series "Hustle," portrayed by Robert Vaughn.
  • B. Stanley
    Stanley is the given first name of Ann Dunham, the American anthropologist and mother of former U.S. President Barack Obama.
  • C. Stanley
    Stanley is a British noble family name historically associated with influential aristocrats, including Lord Stanley of Preston, who served as Governor General of Canada.
  • D. Stanley
    Stanley is an autonomous robotic vehicle developed by Stanford University that gained fame for winning the 2005 DARPA Grand Challenge, a landmark event in self-driving car research.
  • E. Stanley
    Stanley is the small, windswept port town that serves as the political and economic center of the Falkland Islands in the South Atlantic Ocean.
  • 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9cf79348190975d6c1791e3b621 completed April 7, 2026, 11:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d795cf331c8190b35caf3997dc29a3 completed April 9, 2026, 12:04 p.m.
Created at: April 6, 2026, 12:06 p.m.