Triple

T3528911
Position Surface form Disambiguated ID Type / Status
Subject Andy Bernard E74608 entity
Predicate fullName P16 FINISHED
Object Andrew Baines Bernard
Andrew Baines Bernard is a fictional character from the U.S. television series "The Office," known for his preppy personality, a cappella singing, and frequent anger issues.
 E365749 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: Andrew Baines Bernard | Statement: [Andy Bernard, fullName, Andrew Baines Bernard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Andrew Baines Bernard
Context triple: [Andy Bernard, fullName, Andrew Baines Bernard]
  • A. Andrew Bennison
    Andrew Bennison was an American screenwriter active during the early sound era of Hollywood cinema.
  • B. Ian Baker
    Ian Baker is an Australian cinematographer known for his long-time collaboration with director Fred Schepisi on numerous acclaimed films.
  • C. John Brett
    John Brett was a 19th-century British painter associated with the Pre-Raphaelite movement, renowned for his highly detailed landscapes and maritime scenes.
  • D. Dan Bunting
    Dan Bunting is a video game developer best known for his leadership and design work on the Call of Duty series at Treyarch.
  • E. Ian Bryce
    Ian Bryce is a British film producer known for his work on major Hollywood blockbusters such as Saving Private Ryan and the Transformers series.
  • 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: Andrew Baines Bernard
Triple: [Andy Bernard, fullName, Andrew Baines Bernard]
Generated description
Andrew Baines Bernard is a fictional character from the U.S. television series "The Office," known for his preppy personality, a cappella singing, and frequent anger issues.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Andrew Baines Bernard
Target entity description: Andrew Baines Bernard is a fictional character from the U.S. television series "The Office," known for his preppy personality, a cappella singing, and frequent anger issues.
  • A. Andrew Bennison
    Andrew Bennison was an American screenwriter active during the early sound era of Hollywood cinema.
  • B. Ian Baker
    Ian Baker is an Australian cinematographer known for his long-time collaboration with director Fred Schepisi on numerous acclaimed films.
  • C. John Brett
    John Brett was a 19th-century British painter associated with the Pre-Raphaelite movement, renowned for his highly detailed landscapes and maritime scenes.
  • D. Dan Bunting
    Dan Bunting is a video game developer best known for his leadership and design work on the Call of Duty series at Treyarch.
  • E. Ian Bryce
    Ian Bryce is a British film producer known for his work on major Hollywood blockbusters such as Saving Private Ryan and the Transformers series.
  • 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_69ad85d1a3948190931fd1ea1f49717b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc6e9188819093480b39f263ce75 completed March 8, 2026, 6:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e93c1988190a9ab7698bf63e8e6 completed March 13, 2026, 3:03 a.m.
NEDg Description generation batch_69b380a6b6ec8190be0741cb9535b650 completed March 13, 2026, 3:12 a.m.
NED2 Entity disambiguation (via description) batch_69b3812927e48190a84f3c7fa55d070a completed March 13, 2026, 3:14 a.m.
Created at: March 8, 2026, 3:19 p.m.