Triple

T774334
Position Surface form Disambiguated ID Type / Status
Subject Sparks E16353 entity
Predicate namedAfter P63 FINISHED
Object John Sparks
John Sparks was a 19th-century American politician who served as the 10th Governor of Nevada.
E112094 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 Sparks | Statement: [Sparks, namedAfter, John Sparks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Sparks
Context triple: [Sparks, namedAfter, John Sparks]
  • A. Homer Brightman
    Homer Brightman was an American screenwriter best known for his work on classic Disney animated films, including contributing to the screenplay of the 1950 feature "Cinderella."
  • B. Don Adams
    Don Adams was an American actor and comedian best known for his Emmy-winning role as the bumbling secret agent Maxwell Smart on the television series "Get Smart."
  • C. Hugh Herbert
    Hugh Herbert was an American comedian, character actor, and screenwriter best known for his eccentric, fluttery persona in 1930s and 1940s Hollywood films.
  • D. Hugh Smith
    Hugh Smith was one of the early New York stockbrokers who helped found what became the New York Stock Exchange by signing the 1792 Buttonwood Agreement.
  • E. Thomas Gibbons
    Thomas Gibbons was a 19th-century American steamboat operator best known as the successful plaintiff in the landmark U.S. Supreme Court case Gibbons v. Ogden, which expanded federal power over interstate commerce.
  • 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 Sparks
Triple: [Sparks, namedAfter, John Sparks]
Generated description
John Sparks was a 19th-century American politician who served as the 10th Governor of Nevada.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John Sparks
Target entity description: John Sparks was a 19th-century American politician who served as the 10th Governor of Nevada.
  • A. Homer Brightman
    Homer Brightman was an American screenwriter best known for his work on classic Disney animated films, including contributing to the screenplay of the 1950 feature "Cinderella."
  • B. Don Adams
    Don Adams was an American actor and comedian best known for his Emmy-winning role as the bumbling secret agent Maxwell Smart on the television series "Get Smart."
  • C. Hugh Herbert
    Hugh Herbert was an American comedian, character actor, and screenwriter best known for his eccentric, fluttery persona in 1930s and 1940s Hollywood films.
  • D. Hugh Smith
    Hugh Smith was one of the early New York stockbrokers who helped found what became the New York Stock Exchange by signing the 1792 Buttonwood Agreement.
  • E. Thomas Gibbons
    Thomas Gibbons was a 19th-century American steamboat operator best known as the successful plaintiff in the landmark U.S. Supreme Court case Gibbons v. Ogden, which expanded federal power over interstate commerce.
  • 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_69a49369a0848190af883934cee3db4c completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a73058e481908e067b7b7f9a91cd completed March 1, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69a93392bc448190a7920c86727c018c completed March 5, 2026, 7:41 a.m.
NEDg Description generation batch_69a963a5b8648190b21d9edaf3d053d2 completed March 5, 2026, 11:06 a.m.
NED2 Entity disambiguation (via description) batch_69a9641f3a5c81908894097ab2177c43 completed March 5, 2026, 11:08 a.m.
Created at: March 1, 2026, 7:37 p.m.