Triple

T10048390
Position Surface form Disambiguated ID Type / Status
Subject Thomas S. Jesup E207675 entity
Predicate familyName P18 FINISHED
Object Jesup
Jesup is a surname most notably associated with Thomas S. Jesup, a prominent figure in American military history.
 E837753 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: Jesup | Statement: [Thomas S. Jesup, familyName, Jesup]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jesup
Context triple: [Thomas S. Jesup, familyName, Jesup]
  • A. Winslow
    Winslow is the main commercial and residential hub of Bainbridge Island, Washington, known for its downtown shops, restaurants, and ferry terminal connecting to Seattle.
  • B. Winslow
    Winslow is a small historic market town in Buckinghamshire, England, known for its traditional architecture and rural surroundings.
  • C. Winslow
    Winslow is an English-origin surname historically associated with early colonial families in New England.
  • D. Pomeroy
    Pomeroy is a small village in County Tyrone, Northern Ireland, known for its rural setting and surrounding upland landscapes.
  • E. Pomeroy
    Pomeroy is a small rural town in KwaZulu-Natal, South Africa, known for its Zulu cultural heritage and agricultural surroundings.
  • 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: Jesup
Triple: [Thomas S. Jesup, familyName, Jesup]
Generated description
Jesup is a surname most notably associated with Thomas S. Jesup, a prominent figure in American military history.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jesup
Target entity description: Jesup is a surname most notably associated with Thomas S. Jesup, a prominent figure in American military history.
  • A. Winslow
    Winslow is the main commercial and residential hub of Bainbridge Island, Washington, known for its downtown shops, restaurants, and ferry terminal connecting to Seattle.
  • B. Winslow
    Winslow is a small historic market town in Buckinghamshire, England, known for its traditional architecture and rural surroundings.
  • C. Winslow
    Winslow is an English-origin surname historically associated with early colonial families in New England.
  • D. Pomeroy
    Pomeroy is a small village in County Tyrone, Northern Ireland, known for its rural setting and surrounding upland landscapes.
  • E. Pomeroy
    Pomeroy is a small rural town in KwaZulu-Natal, South Africa, known for its Zulu cultural heritage and agricultural surroundings.
  • 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_69ca835ad0608190b7c80b292da004f5 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcf8cf4f0819084d831e1986790be completed April 2, 2026, 2:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2828f3980819083d041f09e63d8e6 completed April 5, 2026, 3:41 p.m.
NEDg Description generation batch_69d28391f8fc8190964cdccaf5625617 completed April 5, 2026, 3:45 p.m.
NED2 Entity disambiguation (via description) batch_69d284604dc88190b452ee847d3390dd completed April 5, 2026, 3:48 p.m.
Created at: March 30, 2026, 8:56 p.m.