Triple

T6816201
Position Surface form Disambiguated ID Type / Status
Subject William Wesley Peters E156761 entity
Predicate familyName P18 FINISHED
Object Peters
Peters is a surname of English and German origin borne by numerous notable individuals across various fields.
 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: [William Wesley Peters, familyName, Peters]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Peters
Context triple: [William Wesley 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. Peters
    Peters is the family name of classic Hollywood film star Carole Lombard, known for her acclaimed roles in 1930s screwball comedies.
  • C. 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."
  • 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: [William Wesley Peters, familyName, Peters]
Generated description
Peters is a surname of English and German origin borne by numerous notable individuals across various fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Peters
Target entity description: Peters is a surname of English and German origin borne by numerous notable individuals across various fields.
  • 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 the family name of classic Hollywood film star Carole Lombard, known for her acclaimed roles in 1930s screwball comedies.
  • C. Peters
    Peters is the married surname of Svetlana Iosifovna Stalina, the daughter of Soviet leader Joseph Stalin.
  • D. Peters
    Peters is the surname of the 19th-century zoologist Wilhelm Peters, a German naturalist known for describing numerous animal species.
  • E. 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."
  • 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_69c68828b26c819090fe9df7612bbc27 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d32dc19c8190a871cc1ff1471a58 completed March 27, 2026, 6:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723e0c62c8190b3b3b092ea48d4c5 completed March 28, 2026, 12:42 a.m.
NEDg Description generation batch_69c7247806808190ac60c134cec612c8 completed March 28, 2026, 12:44 a.m.
NED2 Entity disambiguation (via description) batch_69c72536c4808190b9012e282cf02da4 completed March 28, 2026, 12:47 a.m.
Created at: March 27, 2026, 2:17 p.m.