Triple

T16071516
Position Surface form Disambiguated ID Type / Status
Subject Pete Vuckovich E389873 entity
Predicate nickname P55 FINISHED
Object Pete
Pete is the nickname of Pete Vuckovich, a former Major League Baseball pitcher best known for winning the 1982 American League Cy Young Award with the Milwaukee Brewers.
E1192978 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: Pete | Statement: [Pete Vuckovich, nickname, Pete]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pete
Context triple: [Pete Vuckovich, nickname, Pete]
  • A. Pete
    Pete is the nickname of Grover Cleveland Alexander, a Hall of Fame Major League Baseball pitcher and one of the greatest hurlers of the early 20th century.
  • B. Pete
    Pete is a fictional character known as the son of Uncle Tom in Harriet Beecher Stowe’s anti-slavery novel "Uncle Tom’s Cabin."
  • C. Pete
    Pete is the young orphaned boy who befriends and is protected by a friendly dragon in the Disney film "Pete's Dragon."
  • D. Pete
    Pete is the nickname of Frank K. Everest Jr., a renowned United States Air Force test pilot and brigadier general known for his high-speed flight records.
  • E. Pete
    Pete is a character in the 2014 found-footage-style disaster film "Into the Storm," which centers on a series of devastating tornadoes striking a small town.
  • 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: Pete
Triple: [Pete Vuckovich, nickname, Pete]
Generated description
Pete is the nickname of Pete Vuckovich, a former Major League Baseball pitcher best known for winning the 1982 American League Cy Young Award with the Milwaukee Brewers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pete
Target entity description: Pete is the nickname of Pete Vuckovich, a former Major League Baseball pitcher best known for winning the 1982 American League Cy Young Award with the Milwaukee Brewers.
  • A. Pete
    Pete is the nickname of Grover Cleveland Alexander, a Hall of Fame Major League Baseball pitcher and one of the greatest hurlers of the early 20th century.
  • B. Pete
    Pete is the nickname of Frank K. Everest Jr., a renowned United States Air Force test pilot and brigadier general known for his high-speed flight records.
  • C. Pete
    Pete is the nickname of American test pilot and astronaut William "Pete" Knight, known for setting a world speed record in the X-15 rocket plane.
  • D. Pete
    Pete is the well-known nickname of Confederate General James Longstreet, one of Robert E. Lee’s principal corps commanders during the American Civil War.
  • E. Pete
    Pete is a common masculine given name, typically used as a familiar or informal form of the name Peter.
  • 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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183be909c8190ac6c37ab047151ae completed April 17, 2026, 12:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe4827cd48190aa470c6537e72508 completed May 10, 2026, 1:50 a.m.
NEDg Description generation batch_69ffe6c956a48190845faac983b9a064 completed May 10, 2026, 2 a.m.
NED2 Entity disambiguation (via description) batch_69ffe7387b38819094e55ae14ec2c036 completed May 10, 2026, 2:02 a.m.
Created at: April 10, 2026, 4:57 a.m.