Triple

T24480043
Position Surface form Disambiguated ID Type / Status
Subject William de la Pole, 1st Duke of Suffolk E617345 entity
Predicate spouse P13 FINISHED
Object Alice Chaucer
Alice Chaucer was a prominent 15th-century English noblewoman and granddaughter of the poet Geoffrey Chaucer, noted for her influential marriages and role at the Lancastrian and early Yorkist courts.
E1637345 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: Alice Chaucer | Statement: [William de la Pole, 1st Duke of Suffolk, spouse, Alice Chaucer]
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: Alice Chaucer
Triple: [William de la Pole, 1st Duke of Suffolk, spouse, Alice Chaucer]
Generated description
Alice Chaucer was a prominent 15th-century English noblewoman and granddaughter of the poet Geoffrey Chaucer, noted for her influential marriages and role at the Lancastrian and early Yorkist courts.

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_69e2d7f3ae788190b683394db15f220e completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f29ed509c88190a0071f8e78b38887 completed April 30, 2026, 12:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0fee768f888190902545ff9e619605 completed May 22, 2026, 5:49 a.m.
NEDg Description generation batch_6a0fef537a8c8190ac04651a1b03602b completed May 22, 2026, 5:53 a.m.
NED2 Entity disambiguation (via description) batch_6a0ff00803b481908e7315142e3eb396 completed May 22, 2026, 5:56 a.m.
Created at: April 18, 2026, 2:21 a.m.