Triple

T20733430
Position Surface form Disambiguated ID Type / Status
Subject Bernard Bailyn E509628 entity
Predicate familyName P18 FINISHED
Object Bailyn
Bailyn is a surname most notably associated with Bernard Bailyn, an influential American historian of early American and Atlantic history.
 E509628 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: Bailyn | Statement: [Bernard Bailyn, familyName, Bailyn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bailyn
Context triple: [Bernard Bailyn, familyName, Bailyn]
  • A. Bernard Bailyn
    Bernard Bailyn was a Pulitzer Prize–winning American historian renowned for his influential scholarship on the ideological and intellectual origins of the American Revolution.
  • B. Mather
    Mather is a surname most notably associated with the prominent New England Puritan minister and author Cotton Mather and his influential family.
  • C. Mather
    Mather is a community in Sacramento County, California, known for its former Air Force base and its role within the Sacramento metropolitan area.
  • D. Bancroft
    Bancroft is an English-origin surname borne by various notable figures in politics, academia, and the arts.
  • E. Bancroft
    Bancroft is a British crime drama television series centered on a ruthless detective whose dark past resurfaces as she investigates a cold case.
  • 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: Bailyn
Triple: [Bernard Bailyn, familyName, Bailyn]
Generated description
Bailyn is a surname most notably associated with Bernard Bailyn, an influential American historian of early American and Atlantic history.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bailyn
Target entity description: Bailyn is a surname most notably associated with Bernard Bailyn, an influential American historian of early American and Atlantic history.
  • A. Bernard Bailyn chosen
    Bernard Bailyn was a Pulitzer Prize–winning American historian renowned for his influential scholarship on the ideological and intellectual origins of the American Revolution.
  • B. Mather
    Mather is a surname most notably associated with the prominent New England Puritan minister and author Cotton Mather and his influential family.
  • C. Mather
    Mather is a community in Sacramento County, California, known for its former Air Force base and its role within the Sacramento metropolitan area.
  • D. Bancroft
    Bancroft is an English-origin surname borne by various notable figures in politics, academia, and the arts.
  • E. Bancroft
    Bancroft is a British crime drama television series centered on a ruthless detective whose dark past resurfaces as she investigates a cold case.
  • 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_69e0b4c589c08190834fb5d86d0efa2b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c1ef3040819085c8056e75571104 completed April 21, 2026, 12:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08e06307408190b69d60e62b47d4c3 completed May 16, 2026, 9:23 p.m.
NEDg Description generation batch_6a08e15d93ec8190bbe859fb42a4a5ac completed May 16, 2026, 9:27 p.m.
NED2 Entity disambiguation (via description) batch_6a08e25d8cb08190ba75b792aac192ab completed May 16, 2026, 9:32 p.m.
Created at: April 16, 2026, 12:31 p.m.