Triple

T4676675
Position Surface form Disambiguated ID Type / Status
Subject James Spader E103697 entity
Predicate characterPortrayed P1507 FINISHED
Object Robert California
Robert California is a mysterious, manipulative, and philosophically eccentric executive character from the U.S. version of *The Office*.
 E460320 NE FINISHED

How this triple was built (4 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: Robert California | Statement: [James Spader, characterPortrayed, Robert California]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Robert California
Context triple: [James Spader, characterPortrayed, Robert California]
  • A. Red Miller
    Red Miller was an American football coach best known for leading the Denver Broncos to their first Super Bowl appearance in the 1977 season.
  • B. Jim Kripps
    Jim Kripps is a fictional character appearing in the work titled "The Silence."
  • C. Pete Wilson
    Pete Wilson is an American Republican politician who served as the 36th governor of California from 1991 to 1999 and previously as a U.S. senator and mayor of San Diego.
  • D. John Dexter
    John Dexter was a British theatre and opera director and occasional screenwriter known for his influential work on stage and in film during the mid-20th century.
  • E. George Deukmejian
    George Deukmejian was an American Republican politician who served as the 35th governor of California from 1983 to 1991.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Robert California
Triple: [James Spader, characterPortrayed, Robert California]
Generated description
Robert California is a mysterious, manipulative, and philosophically eccentric executive character from the U.S. version of *The Office*.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Robert California
Target entity description: Robert California is a mysterious, manipulative, and philosophically eccentric executive character from the U.S. version of *The Office*.
  • A. Red Miller
    Red Miller was an American football coach best known for leading the Denver Broncos to their first Super Bowl appearance in the 1977 season.
  • B. Jim Kripps
    Jim Kripps is a fictional character appearing in the work titled "The Silence."
  • C. Pete Wilson
    Pete Wilson is an American Republican politician who served as the 36th governor of California from 1991 to 1999 and previously as a U.S. senator and mayor of San Diego.
  • D. John Dexter
    John Dexter was a British theatre and opera director and occasional screenwriter known for his influential work on stage and in film during the mid-20th century.
  • E. George Deukmejian
    George Deukmejian was an American Republican politician who served as the 35th governor of California from 1983 to 1991.
  • F. None of above. chosen

Provenance (5 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_69bd43dda32c8190938b37744ca270fc completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd63685cb88190ac1904e2c7eb6b61 completed March 20, 2026, 3:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03a0d5c88190a9b40e1ca7d165ff completed March 21, 2026, 2:34 a.m.
NEDg Description generation batch_69be04f8aeac81909ec199c83af6df39 completed March 21, 2026, 2:39 a.m.
NED2 Entity disambiguation (via description) batch_69be05608ee08190acf947144998660c completed March 21, 2026, 2:41 a.m.
Created at: March 20, 2026, 1:16 p.m.