Triple

T2237586
Position Surface form Disambiguated ID Type / Status
Subject Olga Peters E49316 entity
Predicate familyName P18 FINISHED
Object Peters
Peters is a common surname of Germanic and English origin, derived from the given name Peter.
 E7028 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: Peters | Statement: [Olga Peters, familyName, Peters]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Peters
Context triple: [Olga Peters, familyName, Peters]
  • A. Peters
    Peters is a set of early United States Supreme Court case reports compiled by Richard Peters, later incorporated into the official United States Reports.
  • B. Pete
    Pete is a common masculine given name, typically used as a familiar or informal form of the name Peter.
  • C. Pete
    Pete is a classic Disney cartoon villain, best known as Mickey Mouse’s burly, antagonistic foe in the Mickey Mouse franchise.
  • D. Pete
    Pete is the nickname of Grover Cleveland Alexander, a Hall of Fame Major League Baseball pitcher and one of the greatest hurlers of the early 20th century.
  • E. Pinsker
    Pinsker is a Jewish surname most notably associated with Leo Pinsker, a 19th-century physician and early Zionist activist.
  • 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: Peters
Triple: [Olga Peters, familyName, Peters]
Generated description
Peters is a common surname of Germanic and English origin, derived from the given name Peter.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Peters
Target entity description: Peters is a common surname of Germanic and English origin, derived from the given name Peter.
  • A. Peters chosen
    Peters is a set of early United States Supreme Court case reports compiled by Richard Peters, later incorporated into the official United States Reports.
  • B. Pete
    Pete is the nickname of Grover Cleveland Alexander, a Hall of Fame Major League Baseball pitcher and one of the greatest hurlers of the early 20th century.
  • C. Pete
    Pete is a common masculine given name, typically used as a familiar or informal form of the name Peter.
  • D. Pete
    Pete is a classic Disney cartoon villain, best known as Mickey Mouse’s burly, antagonistic foe in the Mickey Mouse franchise.
  • E. Pinsker
    Pinsker is a Jewish surname most notably associated with Leo Pinsker, a 19th-century physician and early Zionist activist.
  • F. None of above.

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_69a88aa84bdc819086df50e9c20b301e completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc096c7748190a545cc9b229bde62 completed March 7, 2026, 6:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6b08c5248190924a28f4c1bd0e2c completed March 9, 2026, 6:39 a.m.
NEDg Description generation batch_69ae6c5cb33481909261f7010e8e21a6 completed March 9, 2026, 6:44 a.m.
NED2 Entity disambiguation (via description) batch_69ae6cd61e808190aefca4d4aa1f8e39 completed March 9, 2026, 6:46 a.m.
Created at: March 4, 2026, 7:47 p.m.