Triple

T2211310
Position Surface form Disambiguated ID Type / Status
Subject Josiah Winslow E50922 entity
Predicate familyName P18 FINISHED
Object Winslow
Winslow is an English-origin surname historically associated with early colonial families in New England.
E246450 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: Winslow | Statement: [Josiah Winslow, familyName, Winslow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Winslow
Context triple: [Josiah Winslow, familyName, Winslow]
  • 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. Milford
    Milford is a village in Surrey, England, situated near the town of Godalming.
  • C. Milford
    Milford is a coastal city in southern Connecticut known for its beaches and harbors along Long Island Sound.
  • D. Wadsworth
    Wadsworth is a small unincorporated community in Nevada known for its location along the Truckee River and its historical ties to the transcontinental railroad.
  • E. Gardiner
    Gardiner is an English surname historically associated with Princess Muna al-Hussein, the British-born mother of King Abdullah II of Jordan.
  • 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: Winslow
Triple: [Josiah Winslow, familyName, Winslow]
Generated description
Winslow is an English-origin surname historically associated with early colonial families in New England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Winslow
Target entity description: Winslow is an English-origin surname historically associated with early colonial families in New England.
  • 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. Milford
    Milford is a village in Surrey, England, situated near the town of Godalming.
  • C. Milford
    Milford is a coastal city in southern Connecticut known for its beaches and harbors along Long Island Sound.
  • D. Wadsworth
    Wadsworth is a small unincorporated community in Nevada known for its location along the Truckee River and its historical ties to the transcontinental railroad.
  • E. Gardiner
    Gardiner is an English surname historically associated with Princess Muna al-Hussein, the British-born mother of King Abdullah II of Jordan.
  • 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_69a88b06709c8190978fb2418470d1b6 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abbfeb889081908cddf58a57b216df completed March 7, 2026, 6:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6af84b708190ac3170a343eb107f completed March 9, 2026, 6:38 a.m.
NEDg Description generation batch_69ae6b31eccc81908fbcc80f72e65df8 completed March 9, 2026, 6:39 a.m.
NED2 Entity disambiguation (via description) batch_69ae6bd2856c81909033efe74039c258 completed March 9, 2026, 6:42 a.m.
Created at: March 4, 2026, 7:46 p.m.