Triple

T17223065
Position Surface form Disambiguated ID Type / Status
Subject Johnny Evers E418036 entity
Predicate givenName P17 FINISHED
Object John
John is the given name of Johnny Evers, a Hall of Fame American second baseman who starred for the Chicago Cubs in the early 20th century.
E418036 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 Evers, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [Johnny Evers, givenName, John]
  • A. John
    John is the given name of John A. Roebling II, an American civil engineer and philanthropist from the prominent Roebling family associated with major bridge construction.
  • B. John
    John is the given first name of Johnny Kilbane, an American featherweight boxing champion from the early 20th century.
  • C. John
    John is the first name of Jack Phillips, the British wireless operator on the RMS Titanic who died during its sinking in 1912.
  • D. John
    John is the given name of John Bowen, a British novelist and playwright known for his crime and speculative fiction.
  • E. John
    John is the given name of John Maitland, 1st Duke of Lauderdale, a prominent 17th-century Scottish nobleman and statesman.
  • 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 Evers, givenName, John]
Generated description
John is the given name of Johnny Evers, a Hall of Fame American second baseman who starred for the Chicago Cubs in the early 20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is the given name of Johnny Evers, a Hall of Fame American second baseman who starred for the Chicago Cubs in the early 20th century.
  • A. John chosen
    John is the first name of Johnny Evers, a Hall of Fame American Major League Baseball second baseman who starred for the Chicago Cubs in the early 20th century.
  • B. John
    John is the given name of John McGraw, the famed early 20th-century Major League Baseball manager and Hall of Famer.
  • C. John
    John is an alternate given name used for the legendary American baseball shortstop Honus Wagner, one of the sport’s earliest Hall of Famers.
  • D. 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.
  • E. John
    John is the given name of John Elway, the Hall of Fame former NFL quarterback and longtime Denver Broncos icon.
  • F. None of above.

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_69d886d779488190b131369541c04e7d completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42ddf2c3c8190b6adceaaefd4ccbf completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01674df2cc8190be602b15d49d38d0 completed May 11, 2026, 5:21 a.m.
NEDg Description generation batch_6a016c03dab88190926c36f2e6b55861 completed May 11, 2026, 5:41 a.m.
NED2 Entity disambiguation (via description) batch_6a016cba568481908920fe42cae5f153 completed May 11, 2026, 5:44 a.m.
Created at: April 10, 2026, 5:38 a.m.