Triple

T14267394
Position Surface form Disambiguated ID Type / Status
Subject Banner Peak E353683 entity
Predicate firstAscentBy P1321 FINISHED
Object John Miller
John Miller was a mountaineer known for making the first recorded ascent of Banner Peak in the Sierra Nevada.
E1110296 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: [Banner Peak, firstAscentBy, John Miller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Miller
Context triple: [Banner Peak, firstAscentBy, 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. Dan Miller
    Dan Miller is an American singer best known as a member of the early 2000s boy band O-Town formed on the reality TV show "Making the Band."
  • E. Dan Miller
    Dan Miller is a central character in the 2007 horror film "The Mist," known as a pragmatic and skeptical local who becomes a key figure in the tense human conflicts that arise when townspeople are trapped in a supermarket by a mysterious, deadly fog.
  • 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: [Banner Peak, firstAscentBy, John Miller]
Generated description
John Miller was a mountaineer known for making the first recorded ascent of Banner Peak in the Sierra Nevada.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John Miller
Target entity description: John Miller was a mountaineer known for making the first recorded ascent of Banner Peak in the Sierra Nevada.
  • 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. Dan Miller
    Dan Miller is an American singer best known as a member of the early 2000s boy band O-Town formed on the reality TV show "Making the Band."
  • E. Dan Miller
    Dan Miller is a central character in the 2007 horror film "The Mist," known as a pragmatic and skeptical local who becomes a key figure in the tense human conflicts that arise when townspeople are trapped in a supermarket by a mysterious, deadly fog.
  • 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6358c2288190ac1fd26e688a605d completed April 14, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda904f8ac8190a4206b6ab6ee812c completed May 8, 2026, 9:12 a.m.
NEDg Description generation batch_69fdb2eea66481908009c79d779734a6 completed May 8, 2026, 9:54 a.m.
NED2 Entity disambiguation (via description) batch_69fdb3b24320819098dd7fab0c3a0507 completed May 8, 2026, 9:58 a.m.
Created at: April 10, 2026, 1:09 a.m.