Triple

T3077426
Position Surface form Disambiguated ID Type / Status
Subject Johnny Podres E64170 entity
Predicate givenName P17 FINISHED
Object John
John is the given first name of Johnny Podres, the American Major League Baseball pitcher best known for his World Series heroics with the Brooklyn Dodgers.
E324401 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: [Johnny Podres, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [Johnny Podres, givenName, John]
  • A. John
    John is traditionally regarded as the author of the New Testament’s Book of Revelation, a prophetic and apocalyptic text in Christian scripture.
  • B. John
    John is the given name of John Perry Barlow, the American poet, essayist, and co-founder of the Electronic Frontier Foundation known for his advocacy of digital rights.
  • C. John
    John is the given name of John Nance Garner, who served as the 32nd vice president of the United States under President Franklin D. Roosevelt.
  • D. John
    John is the given first name of J. Michael Bishop, the American immunologist and Nobel Prize–winning scientist known for his work on oncogenes.
  • E. John
    John is the given name of John F. Sattler, likely referring to him in a more informal or abbreviated context.
  • 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: [Johnny Podres, givenName, John]
Generated description
John is the given first name of Johnny Podres, the American Major League Baseball pitcher best known for his World Series heroics with the Brooklyn Dodgers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is the given first name of Johnny Podres, the American Major League Baseball pitcher best known for his World Series heroics with the Brooklyn Dodgers.
  • A. John
    John is the given name of John McGraw, the famed early 20th-century Major League Baseball manager and Hall of Famer.
  • B. John
    John is the given first name of former Major League Baseball player Tito Francona.
  • C. John
    John is the given first name of the legendary American professional golfer Byron Nelson, one of the sport’s early great champions.
  • D. John
    John is the first name of John W. Henry, the American businessman and principal owner of the Boston Red Sox and Liverpool F.C.
  • 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_69ad857a8aec8190bfdfd9c14554ac5a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada1a6f6148190ae5cd6e45eda9006 completed March 8, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1f8629c7c8190b597255ab8f391af completed March 11, 2026, 11:18 p.m.
NEDg Description generation batch_69b1f8e5cdd08190840321d7ad1fe1e2 completed March 11, 2026, 11:21 p.m.
NED2 Entity disambiguation (via description) batch_69b1f968f17c81908b1e96f482546b80 completed March 11, 2026, 11:23 p.m.
Created at: March 8, 2026, 3:02 p.m.