Triple

T19148356
Position Surface form Disambiguated ID Type / Status
Subject John Honus Wagner E468740 entity
Predicate givenName P17 FINISHED
Object John
John is the given first name of the legendary American baseball shortstop Honus Wagner, one of the sport’s earliest Hall of Famers.
E468740 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 Honus Wagner, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John Honus Wagner, givenName, John]
  • A. John
    John Vassall Jr. was a British civil servant who became notorious as a Soviet spy during the Cold War.
  • 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 given name of John Albert William Spencer-Churchill, a British aristocrat and 10th Duke of Marlborough.
  • D. John
    John is the given name of John Cornford, a British poet and communist who was killed while fighting in the Spanish Civil War.
  • E. John
    John is the first name of American actor and musician John Stamos, best known for his role as Uncle Jesse on the television series "Full House."
  • 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 Honus Wagner, givenName, John]
Generated description
John is the given first name of the legendary American baseball shortstop Honus Wagner, one of the sport’s earliest Hall of Famers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is the given first name of the legendary American baseball shortstop Honus Wagner, one of the sport’s earliest Hall of Famers.
  • A. John chosen
    John is an alternate given name used for the legendary American baseball shortstop Honus Wagner, one of the sport’s earliest Hall of Famers.
  • 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 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.
  • 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 first name of the legendary American professional golfer Byron Nelson, one of the sport’s early great champions.
  • 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_69d8dd084ff48190ac0f8c46ee722629 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e97b48508190b61458821b6475ad completed April 20, 2026, 8:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a06f24e34c4819090954c2b79ab20bb completed May 15, 2026, 10:15 a.m.
NEDg Description generation batch_6a06f366e514819080de839bdde22fc2 completed May 15, 2026, 10:20 a.m.
NED2 Entity disambiguation (via description) batch_6a06f4039ca881908679e5da604eea50 completed May 15, 2026, 10:22 a.m.
Created at: April 10, 2026, 12:06 p.m.