Triple

T33665891
Position Surface form Disambiguated ID Type / Status
Subject Winslow family E862490 entity
Predicate notableMember P10 FINISHED
Object Gilbert Winslow
Gilbert Winslow was an early 17th-century English colonist associated with the Pilgrims of Plymouth Colony and a member of the prominent Winslow family in New England history.
E2068559 NE FINISHED

How this triple was built (2 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: Gilbert Winslow | Statement: [Winslow family, notableMember, Gilbert Winslow]
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: Gilbert Winslow
Triple: [Winslow family, notableMember, Gilbert Winslow]
Generated description
Gilbert Winslow was an early 17th-century English colonist associated with the Pilgrims of Plymouth Colony and a member of the prominent Winslow family in New England history.

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_69f34984c4008190bb82f33a7819da64 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6f9fee47c819098dc46f90cee997b completed May 3, 2026, 7:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3665696a948190bbe1183034218e68 completed June 20, 2026, 10:03 a.m.
NEDg Description generation batch_6a366941e2ec819099c50e922e3551df completed June 20, 2026, 10:19 a.m.
NED2 Entity disambiguation (via description) batch_6a3669ad32a88190acd4382017e76ba9 completed June 20, 2026, 10:21 a.m.
Created at: May 1, 2026, 1:42 a.m.