Triple

T1600240
Position Surface form Disambiguated ID Type / Status
Subject Mike Matheny E34374 entity
Predicate familyName P18 FINISHED
Object Matheny
Matheny is a surname most notably associated with former Major League Baseball catcher and manager Mike Matheny.
 E180701 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: Matheny | Statement: [Mike Matheny, familyName, Matheny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Matheny
Context triple: [Mike Matheny, familyName, Matheny]
  • A. Lamon
    Lamon is an archaeological site notable for inscriptions in the ancient Venetic language.
  • B. Keefer
    Keefer was a distinguished racing greyhound renowned for its achievements on the track, earning induction into the Greyhound Hall of Fame.
  • C. Cloyce
    Cloyce is a surname most notably associated with Sarah Cloyce, one of the women accused during the Salem witch trials in 17th-century Massachusetts.
  • D. Daboll
    Daboll is a surname most prominently associated with Brian Daboll, a professional American football coach in the National Football League.
  • E. Utley
    Utley is a surname most prominently associated with former Major League Baseball second baseman Chase Utley.
  • 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: Matheny
Triple: [Mike Matheny, familyName, Matheny]
Generated description
Matheny is a surname most notably associated with former Major League Baseball catcher and manager Mike Matheny.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Matheny
Target entity description: Matheny is a surname most notably associated with former Major League Baseball catcher and manager Mike Matheny.
  • A. Lamon
    Lamon is an archaeological site notable for inscriptions in the ancient Venetic language.
  • B. Keefer
    Keefer was a distinguished racing greyhound renowned for its achievements on the track, earning induction into the Greyhound Hall of Fame.
  • C. Cloyce
    Cloyce is a surname most notably associated with Sarah Cloyce, one of the women accused during the Salem witch trials in 17th-century Massachusetts.
  • D. Daboll
    Daboll is a surname most prominently associated with Brian Daboll, a professional American football coach in the National Football League.
  • E. Utley
    Utley is a surname most prominently associated with former Major League Baseball second baseman Chase Utley.
  • 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_69a885fdcb9c819081ce6f0b8cd477dd completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9094a27908190bf0d9b5d43617192 completed March 5, 2026, 4:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad46aafce08190855f8e0b760ab5ac completed March 8, 2026, 9:51 a.m.
NEDg Description generation batch_69ad47c7108081908e78a24983353212 completed March 8, 2026, 9:56 a.m.
NED2 Entity disambiguation (via description) batch_69ad481e2c788190af51003898fcbe33 completed March 8, 2026, 9:57 a.m.
Created at: March 4, 2026, 7:28 p.m.