Triple

T6656292
Position Surface form Disambiguated ID Type / Status
Subject Susan Gardner E150952 entity
Predicate hasRomanticRelationshipWith P9994 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: [Susan Gardner, hasRomanticRelationshipWith, Charlie Bartlett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlie Bartlett
Context triple: [Susan Gardner, hasRomanticRelationshipWith, 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. William Hathaway
    William Hathaway was a Democratic U.S. Senator and Representative from Maine who served in Congress during the 1960s and 1970s.
  • C. Franklin Hart Jr.
    Franklin Hart Jr. is the sexist, egotistical, and tyrannical boss who serves as the primary antagonist in the comedy film "9 to 5."
  • D. John Ginty
    John Ginty is an American keyboardist and organist known for his work in rock and jam bands, including as a member of the Tom Tom Club.
  • E. Hugh Whitaker
    Hugh Whitaker is an English drummer best known for being the original drummer of the indie pop band The Housemartins in the 1980s.
  • 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_69c687f2c9508190a60b9aad31d3f358 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b06dbbf88190b39564a688c25a24 completed March 27, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70aecac7c8190856b9ae9f042546b completed March 27, 2026, 10:55 p.m.
Created at: March 27, 2026, 2:01 p.m.