Triple

T594064
Position Surface form Disambiguated ID Type / Status
Subject Ben Zobrist E17339 entity
Predicate familyName P18 FINISHED
Object Zobrist
Zobrist is a surname most notably associated with Ben Zobrist, a former Major League Baseball player and World Series MVP.
 E74434 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: Zobrist | Statement: [Ben Zobrist, familyName, Zobrist]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zobrist
Context triple: [Ben Zobrist, familyName, Zobrist]
  • A. Mhysa
    "Mhysa" is a musical piece from the Game of Thrones television score, best known as the powerful choral theme associated with Daenerys Targaryen’s liberation of the slaves in the Season 3 finale.
  • B. Gassel
    Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
  • C. Klecko
    Klecko is the surname of former American football defensive lineman Joe Klecko, best known for his standout career with the New York Jets as part of the “New York Sack Exchange.”
  • D. Bube
    Bube is a Bantu language spoken primarily by the Bubi people on Bioko Island in Equatorial Guinea.
  • E. Zierer
    Zierer is a German amusement ride manufacturer known for producing family-friendly roller coasters and classic flat rides for theme parks worldwide.
  • 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: Zobrist
Triple: [Ben Zobrist, familyName, Zobrist]
Generated description
Zobrist is a surname most notably associated with Ben Zobrist, a former Major League Baseball player and World Series MVP.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zobrist
Target entity description: Zobrist is a surname most notably associated with Ben Zobrist, a former Major League Baseball player and World Series MVP.
  • A. Mhysa
    "Mhysa" is a musical piece from the Game of Thrones television score, best known as the powerful choral theme associated with Daenerys Targaryen’s liberation of the slaves in the Season 3 finale.
  • B. Gassel
    Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
  • C. Klecko
    Klecko is the surname of former American football defensive lineman Joe Klecko, best known for his standout career with the New York Jets as part of the “New York Sack Exchange.”
  • D. Bube
    Bube is a Bantu language spoken primarily by the Bubi people on Bioko Island in Equatorial Guinea.
  • E. Zierer
    Zierer is a German amusement ride manufacturer known for producing family-friendly roller coasters and classic flat rides for theme parks worldwide.
  • 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_69a49379d09c8190ac7e00b24e2810b1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49bd15c5881909b59ed4c88687e7b completed March 1, 2026, 8:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69a518c61744819090ccc037d61a61b1 completed March 2, 2026, 4:57 a.m.
NEDg Description generation batch_69a5197869fc8190b3e11f46f4eea7b9 completed March 2, 2026, 5 a.m.
NED2 Entity disambiguation (via description) batch_69a519e6319c81908d49076dfe2cd963 completed March 2, 2026, 5:02 a.m.
Created at: March 1, 2026, 7:33 p.m.