Triple

T978463
Position Surface form Disambiguated ID Type / Status
Subject Negro National League E21110 entity
Predicate notablePlayer P304 FINISHED
Object Turkey Stearnes
Turkey Stearnes was a Hall of Fame Negro Leagues outfielder renowned for his exceptional power hitting, speed, and all-around play during the early 20th century.
 E115866 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: Turkey Stearnes | Statement: [Negro National League, notablePlayer, Turkey Stearnes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Turkey Stearnes
Context triple: [Negro National League, notablePlayer, Turkey Stearnes]
  • A. Stearns
    Stearns is the middle name of the influential modernist poet and critic T. S. Eliot, whose full name is Thomas Stearns Eliot.
  • B. Smithfield
    Smithfield is a small hamlet or locality within the rural town of Amenia in Dutchess County, New York.
  • C. Harbison
    Harbison is a surname most notably associated with American composer John Harbison, known for his contributions to contemporary classical music.
  • D. Brewster
    Brewster is the given name of Brewster Kahle, an American computer engineer and digital librarian best known as the founder of the Internet Archive.
  • E. Brewster
    Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
  • 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: Turkey Stearnes
Triple: [Negro National League, notablePlayer, Turkey Stearnes]
Generated description
Turkey Stearnes was a Hall of Fame Negro Leagues outfielder renowned for his exceptional power hitting, speed, and all-around play during the early 20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Turkey Stearnes
Target entity description: Turkey Stearnes was a Hall of Fame Negro Leagues outfielder renowned for his exceptional power hitting, speed, and all-around play during the early 20th century.
  • A. Stearns
    Stearns is the middle name of the influential modernist poet and critic T. S. Eliot, whose full name is Thomas Stearns Eliot.
  • B. Smithfield
    Smithfield is a small hamlet or locality within the rural town of Amenia in Dutchess County, New York.
  • C. Harbison
    Harbison is a surname most notably associated with American composer John Harbison, known for his contributions to contemporary classical music.
  • D. Brewster
    Brewster is the given name of Brewster Kahle, an American computer engineer and digital librarian best known as the founder of the Internet Archive.
  • E. Brewster
    Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
  • 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_69a493c2b62c8190b616351789ec47f8 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b47861808190be56a7bbd926e658 completed March 1, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac1cdbd22c819084346de7e729c8a1 completed March 7, 2026, 12:41 p.m.
NEDg Description generation batch_69ac1d45b8cc8190b8b678b697d3f7f1 completed March 7, 2026, 12:42 p.m.
NED2 Entity disambiguation (via description) batch_69ac1e2e200881909e9b503655d6f8ab completed March 7, 2026, 12:46 p.m.
Created at: March 1, 2026, 7:40 p.m.