Triple

T945275
Position Surface form Disambiguated ID Type / Status
Subject Christy Mathewson E20397 entity
Predicate nickname P55 FINISHED
Object Matty
Matty is the famous nickname of Christy Mathewson, one of early baseball’s greatest pitchers and a Hall of Famer for the New York Giants.
 E111113 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: Matty | Statement: [Christy Mathewson, nickname, Matty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Matty
Context triple: [Christy Mathewson, nickname, Matty]
  • A. Myles
    Myles is a masculine given name of English origin, historically associated with figures such as Mayflower military leader Myles Standish.
  • B. Martz
    Martz is a surname most notably associated with Mike Martz, an American football coach known for his innovative offensive strategies in the NFL.
  • C. Gavin
    Gavin is a masculine given name of Celtic origin, commonly used in English-speaking countries.
  • D. Owen
    Owen is a common Welsh-origin surname borne by many people, including the renowned World War I poet Wilfred Owen.
  • E. Marty
    Marty is a 1955 American romantic drama film that won the Academy Award for Best Picture and is renowned for its poignant portrayal of a lonely butcher’s search for love.
  • 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: Matty
Triple: [Christy Mathewson, nickname, Matty]
Generated description
Matty is the famous nickname of Christy Mathewson, one of early baseball’s greatest pitchers and a Hall of Famer for the New York Giants.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Matty
Target entity description: Matty is the famous nickname of Christy Mathewson, one of early baseball’s greatest pitchers and a Hall of Famer for the New York Giants.
  • A. Myles
    Myles is a masculine given name of English origin, historically associated with figures such as Mayflower military leader Myles Standish.
  • B. Martz
    Martz is a surname most notably associated with Mike Martz, an American football coach known for his innovative offensive strategies in the NFL.
  • C. Gavin
    Gavin is a masculine given name of Celtic origin, commonly used in English-speaking countries.
  • D. Owen
    Owen is a common Welsh-origin surname borne by many people, including the renowned World War I poet Wilfred Owen.
  • E. Marty
    Marty is a 1955 American romantic drama film that won the Academy Award for Best Picture and is renowned for its poignant portrayal of a lonely butcher’s search for love.
  • 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_69a493b0270c81909e6c9ce310f6aa55 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3a61b648190b1b6c932e047e161 completed March 1, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a826e7d55c8190b9b871caead76733 completed March 4, 2026, 12:34 p.m.
NEDg Description generation batch_69a845a793e08190892fe1a545095f62 completed March 4, 2026, 2:45 p.m.
NED2 Entity disambiguation (via description) batch_69a8463631608190a9ada5605e9625aa completed March 4, 2026, 2:48 p.m.
Created at: March 1, 2026, 7:40 p.m.