Triple

T9840807
Position Surface form Disambiguated ID Type / Status
Subject Henry Hastings Sibley E239218 entity
Predicate familyName P18 FINISHED
Object Sibley
Sibley is a surname most notably associated with Henry Hastings Sibley, an early political and military leader in Minnesota history.
 E825514 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: Sibley | Statement: [Henry Hastings Sibley, familyName, Sibley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sibley
Context triple: [Henry Hastings Sibley, familyName, Sibley]
  • A. Faison
    Faison is a surname most notably associated with American actor and comedian Donald Faison.
  • B. Wetmore
    Wetmore is a surname of English origin borne by various notable individuals, including American architect and acting Supervising Architect of the U.S. Treasury James A. Wetmore.
  • C. Sialia
    Sialia is a genus of small North American thrushes commonly known as bluebirds, noted for their vibrant blue plumage and insectivorous diet.
  • D. Audubon
    Audubon is a small suburban borough in Camden County, New Jersey, known primarily as a residential community near Philadelphia.
  • E. Townsend
    Townsend is a surname of English origin borne by numerous notable individuals across fields such as politics, science, and the arts.
  • 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: Sibley
Triple: [Henry Hastings Sibley, familyName, Sibley]
Generated description
Sibley is a surname most notably associated with Henry Hastings Sibley, an early political and military leader in Minnesota history.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sibley
Target entity description: Sibley is a surname most notably associated with Henry Hastings Sibley, an early political and military leader in Minnesota history.
  • A. Faison
    Faison is a surname most notably associated with American actor and comedian Donald Faison.
  • B. Wetmore
    Wetmore is a surname of English origin borne by various notable individuals, including American architect and acting Supervising Architect of the U.S. Treasury James A. Wetmore.
  • C. Sialia
    Sialia is a genus of small North American thrushes commonly known as bluebirds, noted for their vibrant blue plumage and insectivorous diet.
  • D. Audubon
    Audubon is a small suburban borough in Camden County, New Jersey, known primarily as a residential community near Philadelphia.
  • E. Townsend
    Townsend is a surname of English origin borne by numerous notable individuals across fields such as politics, science, and the arts.
  • 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_69ca84e3f0c48190ada72a65ebd50efd completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb34c920c81909b56ed9936b15f9b completed April 2, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5d5484c8190a78ccd0e9816ba51 completed April 5, 2026, 3:24 a.m.
NEDg Description generation batch_69d1d9c17a308190818dd21e7e53af9d completed April 5, 2026, 3:40 a.m.
NED2 Entity disambiguation (via description) batch_69d1da4ee3588190aa46d2eeffd0eabd completed April 5, 2026, 3:43 a.m.
Created at: March 30, 2026, 8:33 p.m.