Triple

T1062821
Position Surface form Disambiguated ID Type / Status
Subject Charlie Bartlett E22944 entity
Predicate mainCharacter P1183 FINISHED
Object Charlie Bartlett E22944 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: Charlie Bartlett | Statement: [Charlie Bartlett, mainCharacter, Charlie Bartlett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlie Bartlett
Context triple: [Charlie Bartlett, mainCharacter, Charlie Bartlett]
  • A. Charlie Bartlett chosen
    Charlie Bartlett is a 2007 teen comedy-drama film about a wealthy but troubled high school student who becomes an amateur psychiatrist for his classmates.
  • B. Frank Sullivan
    Frank Sullivan is an American college basketball coach best known for his long tenure leading the Harvard Crimson men's basketball program.
  • C. Ferris Webster
    Ferris Webster was an American film editor known for his work on major Hollywood productions, including the Clint Eastwood prison drama "Escape from Alcatraz."
  • D. Charles Belcher
    Charles Belcher was an American character actor of the silent film era, known for supporting roles in early 20th-century Hollywood productions.
  • E. Ralph Malph
    Ralph Malph is a wisecracking, redheaded teenager known for his corny jokes and nervous humor on the classic TV sitcom "Happy Days."
  • 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_69a493dada0481909c43649f9843ea91 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b8f68a54819084326d87c3498252 completed March 1, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac5ea233ec819081d81164e540fe71 completed March 7, 2026, 5:21 p.m.
Created at: March 1, 2026, 7:42 p.m.