Triple

T7425304
Position Surface form Disambiguated ID Type / Status
Subject John Havlicek E171352 entity
Predicate givenName P17 FINISHED
Object John
John is the given name of John Havlicek, a legendary Boston Celtics swingman widely regarded as one of the greatest players in NBA history.
E662664 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 | Statement: [John Havlicek, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John Havlicek, givenName, John]
  • A. John
    John is the given name of John D. Rockefeller, the American industrialist and philanthropist who founded Standard Oil and became one of the wealthiest individuals in history.
  • B. John
    John is the given name of John Paul Stevens, a long-serving associate justice of the United States Supreme Court.
  • C. John
    John is the given name of John James Rickard Macleod, the Scottish physiologist and co-recipient of the 1923 Nobel Prize in Physiology or Medicine for the discovery of insulin.
  • D. John
    John is the first name of John Marston, the iconic outlaw protagonist from the Red Dead Redemption video game series.
  • E. John
    John is the given name of John Francis Dodge, an American automobile pioneer and co-founder of the Dodge Brothers Company.
  • 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
Triple: [John Havlicek, givenName, John]
Generated description
John is the given name of John Havlicek, a legendary Boston Celtics swingman widely regarded as one of the greatest players in NBA history.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is the given name of John Havlicek, a legendary Boston Celtics swingman widely regarded as one of the greatest players in NBA history.
  • A. John
    John is the given name of John Wooden, the legendary American basketball coach renowned for his success at UCLA and his influential leadership philosophy.
  • B. John
    John is the first name of Jack Ramsay, the renowned American basketball coach and Hall of Famer.
  • C. John
    John is the given name of John Madden, the famed American football coach, broadcaster, and namesake of the Madden NFL video game series.
  • D. John
    John is the given first name of Johnny Bucyk, a Hall of Fame Canadian ice hockey player best known for his long career with the Boston Bruins.
  • E. John
    John is the formal first name of Johnny Most, the famed American sports broadcaster known for his passionate radio commentary of Boston Celtics basketball games.
  • 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_69c68a625d048190af70eb8b63bec5a0 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f303eb988190ba9df7946fce1c86 completed March 27, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81eb53060819081312e8b2805e9db completed March 28, 2026, 6:32 p.m.
NEDg Description generation batch_69c81fb9d2e48190905a26a0b6377665 completed March 28, 2026, 6:36 p.m.
NED2 Entity disambiguation (via description) batch_69c82010d5048190a6182d41e4979012 completed March 28, 2026, 6:38 p.m.
Created at: March 27, 2026, 3:12 p.m.