Triple

T3379240
Position Surface form Disambiguated ID Type / Status
Subject Boston College Eagles baseball E71140 entity
Predicate alumniOfProgram P47484 FINISHED
Object Mike King
Mike King is an American professional baseball pitcher who played college baseball at Boston College before reaching Major League Baseball.
E352414 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: Mike King | Statement: [Boston College Eagles baseball, alumniOfProgram, Mike King]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mike King
Context triple: [Boston College Eagles baseball, alumniOfProgram, Mike King]
  • A. Jeff King
    Jeff King is a television producer and writer known for his work on various drama series.
  • B. Bob King
    Bob King was a prominent American college basketball coach best known for revitalizing the University of New Mexico Lobos program in the 1960s and establishing it as a national contender.
  • C. Donald King
    Donald King is a flamboyant and controversial American boxing promoter known for organizing some of the sport’s most famous heavyweight championship bouts.
  • D. Mark King
    Mark King is a musician best known as the lead vocalist and bassist of the British jazz-funk band Level 42.
  • E. Kevin King
    Kevin King is a film producer best known for his work on the 2006 sports drama "Rocky Balboa."
  • 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: Mike King
Triple: [Boston College Eagles baseball, alumniOfProgram, Mike King]
Generated description
Mike King is an American professional baseball pitcher who played college baseball at Boston College before reaching Major League Baseball.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mike King
Target entity description: Mike King is an American professional baseball pitcher who played college baseball at Boston College before reaching Major League Baseball.
  • A. Jeff King
    Jeff King is a television producer and writer known for his work on various drama series.
  • B. Bob King
    Bob King was a prominent American college basketball coach best known for revitalizing the University of New Mexico Lobos program in the 1960s and establishing it as a national contender.
  • C. Donald King
    Donald King is a flamboyant and controversial American boxing promoter known for organizing some of the sport’s most famous heavyweight championship bouts.
  • D. Mark King
    Mark King is a musician best known as the lead vocalist and bassist of the British jazz-funk band Level 42.
  • E. Kevin King
    Kevin King is a film producer best known for his work on the 2006 sports drama "Rocky Balboa."
  • 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_69ad85a7f80c8190a05e43013f298942 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb2ec38d88190be8c824daeca5ab6 completed March 8, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3344c0698819082d856d8be7f2c18 completed March 12, 2026, 9:46 p.m.
NEDg Description generation batch_69b334e661ac8190b8ff974c9568caf8 completed March 12, 2026, 9:49 p.m.
NED2 Entity disambiguation (via description) batch_69b3354fe7748190a0324551d1a8bc1b completed March 12, 2026, 9:51 p.m.
Created at: March 8, 2026, 3:14 p.m.