Triple

T9195263
Position Surface form Disambiguated ID Type / Status
Subject Mark Rendall E220689 entity
Predicate notableWork P4 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: [Mark Rendall, notableWork, Charlie Bartlett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlie Bartlett
Context triple: [Mark Rendall, notableWork, 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. Asa Packer
    Asa Packer was a 19th-century American industrialist, philanthropist, and politician best known for his role in the coal and railroad industries and for endowing Lehigh University.
  • C. William Hathaway
    William Hathaway was a Democratic U.S. Senator and Representative from Maine who served in Congress during the 1960s and 1970s.
  • D. 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."
  • E. 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.
  • 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_69ca83e7ba70819088b74866d9da2c30 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd87c3a3c8190b60f19873ef6e1f8 completed April 1, 2026, 8:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c36d7208190a593923bad3d18e7 completed April 4, 2026, 12:32 a.m.
Created at: March 30, 2026, 7:25 p.m.