Triple

T2077056
Position Surface form Disambiguated ID Type / Status
Subject Arthur Miller E44946 entity
Predicate hasChild P369 FINISHED
Object Daniel Miller
Daniel Miller is known as a son of the renowned American playwright Arthur Miller.
E234372 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: Daniel Miller | Statement: [Arthur Miller, hasChild, Daniel Miller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniel Miller
Context triple: [Arthur Miller, hasChild, Daniel Miller]
  • A. John Leeson
    John Leeson is a British actor best known for voicing the robotic dog K-9 in the Doctor Who television franchise.
  • B. Clive Loader
    Clive Loader is a retired senior Royal Air Force officer who served as Air Officer Commanding-in-Chief of RAF Fighter Command.
  • C. Ian Stewart
    Ian Stewart is a British mathematician and prolific popular science writer known for his engaging books and articles on mathematics and its applications.
  • D. Daniel Butterfield
    Daniel Butterfield was a Union Army general in the American Civil War, best known for composing the bugle call "Taps."
  • E. Dan Jones
    Dan Jones is a British composer and sound designer known for his award-winning scores for film, television, and theatre.
  • 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: Daniel Miller
Triple: [Arthur Miller, hasChild, Daniel Miller]
Generated description
Daniel Miller is known as a son of the renowned American playwright Arthur Miller.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Daniel Miller
Target entity description: Daniel Miller is known as a son of the renowned American playwright Arthur Miller.
  • A. John Leeson
    John Leeson is a British actor best known for voicing the robotic dog K-9 in the Doctor Who television franchise.
  • B. Clive Loader
    Clive Loader is a retired senior Royal Air Force officer who served as Air Officer Commanding-in-Chief of RAF Fighter Command.
  • C. Ian Stewart
    Ian Stewart is a British mathematician and prolific popular science writer known for his engaging books and articles on mathematics and its applications.
  • D. Daniel Butterfield
    Daniel Butterfield was a Union Army general in the American Civil War, best known for composing the bugle call "Taps."
  • E. Dan Jones
    Dan Jones is a British composer and sound designer known for his award-winning scores for film, television, and theatre.
  • 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_69a88916c2b48190a5ca2e9b12cad3ed completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abba2fa9c48190958826d5226544df completed March 7, 2026, 5:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae3056aa0c8190b19d97ac0c3bc31d completed March 9, 2026, 2:28 a.m.
NEDg Description generation batch_69ae313e47908190a01affff24a3a81b completed March 9, 2026, 2:32 a.m.
NED2 Entity disambiguation (via description) batch_69ae31a67eb08190a3ef64e83301fabc completed March 9, 2026, 2:34 a.m.
Created at: March 4, 2026, 7:41 p.m.