Triple

T9518469
Position Surface form Disambiguated ID Type / Status
Subject Peter P. Peters E229583 entity
Predicate hasFamilyName P18 FINISHED
Object Peters
Peters is a common German- and Dutch-origin surname borne by numerous individuals across various professions and regions.
 E621712 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: [Peter P. Peters, hasFamilyName, Peters]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Peters
Context triple: [Peter P. Peters, hasFamilyName, 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. Peters
    Peters is a central crew member and medical technician aboard the rescue vessel Lewis and Clark in the 1997 science fiction horror film "Event Horizon."
  • C. Peters
    Peters is the family name of classic Hollywood film star Carole Lombard, known for her acclaimed roles in 1930s screwball comedies.
  • D. Peters
    Peters is the married surname of Svetlana Iosifovna Stalina, the daughter of Soviet leader Joseph Stalin.
  • E. Peters
    Peters is the surname of the 19th-century zoologist Wilhelm Peters, a German naturalist known for describing numerous animal species.
  • 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: [Peter P. Peters, hasFamilyName, Peters]
Generated description
Peters is a common German- and Dutch-origin surname borne by numerous individuals across various professions and regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Peters
Target entity description: Peters is a common German- and Dutch-origin surname borne by numerous individuals across various professions and regions.
  • A. Peters chosen
    Peters is a surname of English and German origin borne by numerous notable individuals across various fields.
  • B. Peters
    Peters is the surname of the 19th-century zoologist Wilhelm Peters, a German naturalist known for describing numerous animal species.
  • C. Peters
    Peters is the married surname of Svetlana Iosifovna Stalina, the daughter of Soviet leader Joseph Stalin.
  • D. Peters
    Peters is the family name of classic Hollywood film star Carole Lombard, known for her acclaimed roles in 1930s screwball comedies.
  • E. 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.
  • 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_69ca847870a881909d8d751a7d29da39 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9881e0f081909a0177cedc2e8b95 completed April 1, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69d13a4aeb008190ae5d54367efe2722 completed April 4, 2026, 4:20 p.m.
NEDg Description generation batch_69d13c78d6108190ad2cab79070077a8 completed April 4, 2026, 4:29 p.m.
NED2 Entity disambiguation (via description) batch_69d13d2aac8c8190a00c8fe820baa732 completed April 4, 2026, 4:32 p.m.
Created at: March 30, 2026, 7:59 p.m.