Triple

T15315553
Position Surface form Disambiguated ID Type / Status
Subject Doc Martin E366146 entity
Predicate hasCharacter P2308 FINISHED
Object Bert Large
Bert Large is a comically enterprising plumber and handyman in the British television series "Doc Martin," known for his get-rich-quick schemes and larger-than-life personality.
E1149674 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: Bert Large | Statement: [Doc Martin, hasCharacter, Bert Large]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bert Large
Context triple: [Doc Martin, hasCharacter, Bert Large]
  • A. Bert
    Bert is a Swedish film or television production best known as an early directorial work by acclaimed filmmaker Tomas Alfredson.
  • B. Bert
    Bert is the given name of Bert Hölldobler, a renowned German behavioral biologist and sociobiologist known for his pioneering research on ants and social insects.
  • C. Bert
    Bert is a film director best known for co-directing the 2019 coming-of-age comedy-drama "Troop Zero."
  • D. Bert
    Bert is the commonly used short form of the Dutch politician and diplomat Bert Koenders’ given name.
  • E. Bert
    Bert is a masculine given name, often used as a short form of names like Albert, Herbert, or Bertram.
  • 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: Bert Large
Triple: [Doc Martin, hasCharacter, Bert Large]
Generated description
Bert Large is a comically enterprising plumber and handyman in the British television series "Doc Martin," known for his get-rich-quick schemes and larger-than-life personality.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bert Large
Target entity description: Bert Large is a comically enterprising plumber and handyman in the British television series "Doc Martin," known for his get-rich-quick schemes and larger-than-life personality.
  • A. Bert
    Bert is a Swedish film or television production best known as an early directorial work by acclaimed filmmaker Tomas Alfredson.
  • B. Bert
    Bert is a film director best known for co-directing the 2019 coming-of-age comedy-drama "Troop Zero."
  • C. Bert
    Bert is a serious, detail-oriented Muppet from Sesame Street, best known for his love of pigeons, paper clips, and his comedic odd-couple friendship with Ernie.
  • D. Bert
    Bert is the commonly used short form of the Dutch politician and diplomat Bert Koenders’ given name.
  • E. Bert
    Bert is the nickname of Bert Hinkler, an Australian aviation pioneer and record-breaking solo long-distance pilot of the early 20th century.
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03dd050108190a584543cb93943a4 completed April 16, 2026, 1:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef8a688a48190848eb7f065aba146 completed May 9, 2026, 9:04 a.m.
NEDg Description generation batch_69fef9cf76cc8190898ea1e648da18ed completed May 9, 2026, 9:09 a.m.
NED2 Entity disambiguation (via description) batch_69fefab2d4cc8190acaa4b6341224633 completed May 9, 2026, 9:13 a.m.
Created at: April 10, 2026, 3:16 a.m.