Triple

T4874039
Position Surface form Disambiguated ID Type / Status
Subject Olin Levi Warner E109157 entity
Predicate givenName P17 FINISHED
Object Olin
Olin is a masculine given name of English origin, historically borne by figures such as the American sculptor Olin Levi Warner.
 E476752 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: Olin | Statement: [Olin Levi Warner, givenName, Olin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Olin
Context triple: [Olin Levi Warner, givenName, Olin]
  • A. Shattuck
    Shattuck is a small town in northwestern Oklahoma known for its historic windmill park and rural, agricultural character.
  • B. Skidmore
    Skidmore is a surname most notably associated with American architect Louis Skidmore, co-founder of the influential firm Skidmore, Owings & Merrill.
  • C. Conant
    Conant is a surname most notably associated with James B. Conant, an influential American chemist, educator, and former president of Harvard University.
  • D. Muhlenberg
    Muhlenberg is a German-origin surname notably associated with the influential American Muhlenberg family, including early political and religious leaders in the United States.
  • E. Kogod
    Kogod is the business school of American University in Washington, D.C., offering undergraduate and graduate programs in business and management.
  • 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: Olin
Triple: [Olin Levi Warner, givenName, Olin]
Generated description
Olin is a masculine given name of English origin, historically borne by figures such as the American sculptor Olin Levi Warner.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Olin
Target entity description: Olin is a masculine given name of English origin, historically borne by figures such as the American sculptor Olin Levi Warner.
  • A. Shattuck
    Shattuck is a small town in northwestern Oklahoma known for its historic windmill park and rural, agricultural character.
  • B. Skidmore
    Skidmore is a surname most notably associated with American architect Louis Skidmore, co-founder of the influential firm Skidmore, Owings & Merrill.
  • C. Conant
    Conant is a surname most notably associated with James B. Conant, an influential American chemist, educator, and former president of Harvard University.
  • D. Muhlenberg
    Muhlenberg is a German-origin surname notably associated with the influential American Muhlenberg family, including early political and religious leaders in the United States.
  • E. Kogod
    Kogod is the business school of American University in Washington, D.C., offering undergraduate and graduate programs in business and management.
  • 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_69bd440d96a48190b0c87069adef2af1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6da1b45881909d45cb1214f5bdde completed March 20, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69be67f5b51c8190a8114450084d2b13 completed March 21, 2026, 9:42 a.m.
NEDg Description generation batch_69be69ed67f4819094656680ac3a174a completed March 21, 2026, 9:50 a.m.
NED2 Entity disambiguation (via description) batch_69be6a368ca88190b57fdf7c8c9f4e60 completed March 21, 2026, 9:51 a.m.
Created at: March 20, 2026, 1:27 p.m.