Triple

T1896181
Position Surface form Disambiguated ID Type / Status
Subject Farmer E41986 entity
Predicate hasNotableBearer P458 FINISHED
Object Mark Farmer
Mark Farmer is a British actor best known for his roles in the television series "Grange Hill," "Minder," and "Johnny Jarvis."
 E222426 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: Mark Farmer | Statement: [Farmer, hasNotableBearer, Mark Farmer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mark Farmer
Context triple: [Farmer, hasNotableBearer, Mark Farmer]
  • A. Brian Farmer
    Brian Farmer is a notable individual recognized for achievements significant enough to be distinguished among others sharing the surname Farmer.
  • B. Neil Farmer
    Neil Farmer is a British author known for his works on organizational psychology and performance improvement.
  • C. Frank Farmer
    Frank Farmer is the stoic former Secret Service agent turned professional bodyguard who is hired to protect a famous singer in the film "The Bodyguard."
  • D. Kevin Hageman
    Kevin Hageman is an American screenwriter and producer known for his work on animated and family films and television series, including contributions to The Lego Movie franchise.
  • E. Roy Farrell
    Roy Farrell was an American entrepreneur and aviation pioneer best known for co-founding the Hong Kong-based airline Cathay Pacific in the mid-20th century.
  • 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: Mark Farmer
Triple: [Farmer, hasNotableBearer, Mark Farmer]
Generated description
Mark Farmer is a British actor best known for his roles in the television series "Grange Hill," "Minder," and "Johnny Jarvis."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mark Farmer
Target entity description: Mark Farmer is a British actor best known for his roles in the television series "Grange Hill," "Minder," and "Johnny Jarvis."
  • A. Brian Farmer
    Brian Farmer is a notable individual recognized for achievements significant enough to be distinguished among others sharing the surname Farmer.
  • B. Neil Farmer
    Neil Farmer is a British author known for his works on organizational psychology and performance improvement.
  • C. Frank Farmer
    Frank Farmer is the stoic former Secret Service agent turned professional bodyguard who is hired to protect a famous singer in the film "The Bodyguard."
  • D. Kevin Hageman
    Kevin Hageman is an American screenwriter and producer known for his work on animated and family films and television series, including contributions to The Lego Movie franchise.
  • E. Roy Farrell
    Roy Farrell was an American entrepreneur and aviation pioneer best known for co-founding the Hong Kong-based airline Cathay Pacific in the mid-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_69a8864b6de0819098d089f6a1b910a7 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb16d6674819084a891e3bf23bd83 completed March 7, 2026, 5:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae030e55f88190a9996d785066ea20 completed March 8, 2026, 11:15 p.m.
NEDg Description generation batch_69ae045e13d481909a4654540077eb10 completed March 8, 2026, 11:21 p.m.
NED2 Entity disambiguation (via description) batch_69ae04acc098819084a5801d8714a14b completed March 8, 2026, 11:22 p.m.
Created at: March 4, 2026, 7:35 p.m.