Triple

T3292159
Position Surface form Disambiguated ID Type / Status
Subject Elizabeth I (miniseries) E69125 entity
Predicate executiveProducer P7225 FINISHED
Object Charles Pattinson
Charles Pattinson is a British television producer known for his work on high-profile drama series and literary adaptations.
E345231 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: Charles Pattinson | Statement: [Elizabeth I (miniseries), executiveProducer, Charles Pattinson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charles Pattinson
Context triple: [Elizabeth I (miniseries), executiveProducer, Charles Pattinson]
  • A. Will Firth
    Will Firth is the son of English actor Colin Firth and is known primarily for his connection to his father's prominent film career.
  • B. Alex Hibbert
    Alex Hibbert is an American actor best known for his acclaimed performance as young Chiron in the Oscar-winning film "Moonlight."
  • C. Colin Greening
    Colin Greening is a Canadian former professional ice hockey forward who played in the NHL, primarily for the Ottawa Senators.
  • D. Martin Phipps
    Martin Phipps is a British film and television composer known for his atmospheric, orchestral scores for acclaimed series and period dramas.
  • E. Martin Jarmond
    Martin Jarmond is an American college athletics administrator best known as the athletic director at UCLA and former AD at Boston College.
  • 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: Charles Pattinson
Triple: [Elizabeth I (miniseries), executiveProducer, Charles Pattinson]
Generated description
Charles Pattinson is a British television producer known for his work on high-profile drama series and literary adaptations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Charles Pattinson
Target entity description: Charles Pattinson is a British television producer known for his work on high-profile drama series and literary adaptations.
  • A. Will Firth
    Will Firth is the son of English actor Colin Firth and is known primarily for his connection to his father's prominent film career.
  • B. Alex Hibbert
    Alex Hibbert is an American actor best known for his acclaimed performance as young Chiron in the Oscar-winning film "Moonlight."
  • C. Colin Greening
    Colin Greening is a Canadian former professional ice hockey forward who played in the NHL, primarily for the Ottawa Senators.
  • D. Martin Phipps
    Martin Phipps is a British film and television composer known for his atmospheric, orchestral scores for acclaimed series and period dramas.
  • E. Martin Jarmond
    Martin Jarmond is an American college athletics administrator best known as the athletic director at UCLA and former AD at Boston College.
  • 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_69ad859d45748190b0742408c954b39f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb07379dc8190b7bb409bcf42bdd6 completed March 8, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e86895988190a7acaa5948b50bcd completed March 12, 2026, 4:23 p.m.
NEDg Description generation batch_69b2ec48bf888190a5eeac0aa2cc50c3 completed March 12, 2026, 4:39 p.m.
NED2 Entity disambiguation (via description) batch_69b2ecd134e88190933e52d7f1f5be2a completed March 12, 2026, 4:41 p.m.
Created at: March 8, 2026, 3:10 p.m.