Triple

T1220789
Position Surface form Disambiguated ID Type / Status
Subject Tris Speaker E26217 entity
Predicate nickname P55 FINISHED
Object Tris
Tris is the nickname of Tris Speaker, a Hall of Fame Major League Baseball center fielder renowned for his exceptional defensive play and high career batting average in the early 20th century.
 E139971 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: Tris | Statement: [Tris Speaker, nickname, Tris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tris
Context triple: [Tris Speaker, nickname, Tris]
  • A. Trife
    Trife is a rapper best known as a member of the Brooklyn hip hop collective Junior M.A.F.I.A.
  • B. Hallidie
    Hallidie is a surname most notably associated with Andrew Smith Hallidie, the 19th-century engineer credited with pioneering San Francisco’s cable car system.
  • C. Trieb
    Trieb is a district or locality within the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
  • D. Trophis
    Trophis is a small genus of flowering trees and shrubs in the mulberry family, known for its tropical distribution and simple, often leathery leaves.
  • E. Fremulon
    Fremulon is a television production company founded by Michael Schur, best known for producing acclaimed comedy series such as Brooklyn Nine-Nine.
  • 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: Tris
Triple: [Tris Speaker, nickname, Tris]
Generated description
Tris is the nickname of Tris Speaker, a Hall of Fame Major League Baseball center fielder renowned for his exceptional defensive play and high career batting average in the early 20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tris
Target entity description: Tris is the nickname of Tris Speaker, a Hall of Fame Major League Baseball center fielder renowned for his exceptional defensive play and high career batting average in the early 20th century.
  • A. Trife
    Trife is a rapper best known as a member of the Brooklyn hip hop collective Junior M.A.F.I.A.
  • B. Hallidie
    Hallidie is a surname most notably associated with Andrew Smith Hallidie, the 19th-century engineer credited with pioneering San Francisco’s cable car system.
  • C. Trieb
    Trieb is a district or locality within the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
  • D. Trophis
    Trophis is a small genus of flowering trees and shrubs in the mulberry family, known for its tropical distribution and simple, often leathery leaves.
  • E. Fremulon
    Fremulon is a television production company founded by Michael Schur, best known for producing acclaimed comedy series such as Brooklyn Nine-Nine.
  • 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_69a49484688c8190a1bf285eb396a8b6 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be1ead088190bf44dc6ab1edf18b completed March 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8322425c81909cc206b122416c43 completed March 7, 2026, 7:57 p.m.
NEDg Description generation batch_69ac83de917c8190adf5effc6ecebeb4 completed March 7, 2026, 8 p.m.
NED2 Entity disambiguation (via description) batch_69ac84c392a08190854da8405c0252b2 completed March 7, 2026, 8:04 p.m.
Created at: March 1, 2026, 7:46 p.m.