Triple

T6123013
Position Surface form Disambiguated ID Type / Status
Subject Edgar Martínez E136526 entity
Predicate nickname P55 FINISHED
Object Papi
Papi is the affectionate nickname of former Seattle Mariners designated hitter and third baseman Edgar Martínez, a Hall of Fame baseball player renowned for his exceptional hitting.
 E572007 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: Papi | Statement: [Edgar Martínez, nickname, Papi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Papi
Context triple: [Edgar Martínez, nickname, Papi]
  • A. Papa M
    Papa M is the solo project of American musician David Pajo, known for its atmospheric, experimental folk and post-rock recordings.
  • B. Pepa
    Pepa is a traditional Assamese wind instrument, typically made from buffalo horn, used in folk and Bihu music.
  • C. Pepa
    Pepa is the stage name of Sandra Denton, a rapper best known as one-third of the pioneering hip hop group Salt-N-Pepa.
  • D. Papasha
    Papasha is the affectionate Russian nickname for the PPSh-41, a widely used Soviet submachine gun from World War II.
  • E. Paco
    Paco is a riverside district in Manila, Philippines, known for its historic sites, markets, and dense urban neighborhoods.
  • 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: Papi
Triple: [Edgar Martínez, nickname, Papi]
Generated description
Papi is the affectionate nickname of former Seattle Mariners designated hitter and third baseman Edgar Martínez, a Hall of Fame baseball player renowned for his exceptional hitting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Papi
Target entity description: Papi is the affectionate nickname of former Seattle Mariners designated hitter and third baseman Edgar Martínez, a Hall of Fame baseball player renowned for his exceptional hitting.
  • A. Papa M
    Papa M is the solo project of American musician David Pajo, known for its atmospheric, experimental folk and post-rock recordings.
  • B. Pepa
    Pepa is a traditional Assamese wind instrument, typically made from buffalo horn, used in folk and Bihu music.
  • C. Pepa
    Pepa is the stage name of Sandra Denton, a rapper best known as one-third of the pioneering hip hop group Salt-N-Pepa.
  • D. Papasha
    Papasha is the affectionate Russian nickname for the PPSh-41, a widely used Soviet submachine gun from World War II.
  • E. Paco
    Paco is a riverside district in Manila, Philippines, known for its historic sites, markets, and dense urban neighborhoods.
  • 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_69c0089f851c81909e5e189a617dcff6 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05c247b7081909972b40afb165e6f completed March 22, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c135abcef08190a899d7ba261ebb04 completed March 23, 2026, 12:44 p.m.
NEDg Description generation batch_69c13877c7148190aa4d583206a53185 completed March 23, 2026, 12:56 p.m.
NED2 Entity disambiguation (via description) batch_69c138eccd4c8190bf540f84ba6c1d65 completed March 23, 2026, 12:58 p.m.
Created at: March 22, 2026, 4:14 p.m.