Triple

T21114493
Position Surface form Disambiguated ID Type / Status
Subject Guillermo Miller E520258 entity
Predicate hasRelative P367 FINISHED
Object John Miller
John Miller is an individual known primarily as a relative of Guillermo Miller.
 E1474049 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: John Miller | Statement: [Guillermo Miller, hasRelative, John Miller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Miller
Context triple: [Guillermo Miller, hasRelative, John Miller]
  • A. John Miller
    John Miller is a prominent American sports journalist and television anchor best known for his work on ESPN’s “20/20” sports coverage and related broadcasts.
  • B. John Miller
    John Miller was an American politician who became the inaugural governor of the U.S. state of North Dakota after its admission to the Union.
  • C. John Miller
    John Miller is an American politician who served as a U.S. Representative from Washington before being succeeded by Maria Cantwell.
  • D. John Miller
    John Miller was a mountaineer known for making the first recorded ascent of Banner Peak in the Sierra Nevada.
  • E. John Miller
    John Miller is the fictional American mortician-turned-reluctant protector portrayed by Christian Bale in the Chinese historical war drama film "The Flowers of War."
  • 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: John Miller
Triple: [Guillermo Miller, hasRelative, John Miller]
Generated description
John Miller is an individual known primarily as a relative of Guillermo Miller.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: John Miller
Target entity description: John Miller is an individual known primarily as a relative of Guillermo Miller.
  • A. John Miller
    John Miller is a prominent American sports journalist and television anchor best known for his work on ESPN’s “20/20” sports coverage and related broadcasts.
  • B. John Miller
    John Miller was an American politician who became the inaugural governor of the U.S. state of North Dakota after its admission to the Union.
  • C. John Miller
    John Miller is an American politician who served as a U.S. Representative from Washington before being succeeded by Maria Cantwell.
  • D. John Miller
    John Miller was a mountaineer known for making the first recorded ascent of Banner Peak in the Sierra Nevada.
  • E. John Miller
    John Miller is the fictional American mortician-turned-reluctant protector portrayed by Christian Bale in the Chinese historical war drama film "The Flowers of War."
  • 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_69e0b509a318819092fbbcb21d1fe603 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72104e49c8190b75c2e14f6036e39 completed April 21, 2026, 7:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a098fe417548190ae9be3aef60c8b0a completed May 17, 2026, 9:52 a.m.
NEDg Description generation batch_6a09906da6dc8190a2bdd998d61c583d completed May 17, 2026, 9:54 a.m.
NED2 Entity disambiguation (via description) batch_6a0990d98e6881909c6825844b240de4 completed May 17, 2026, 9:56 a.m.
Created at: April 16, 2026, 2:54 p.m.