Triple

T35046278
Position Surface form Disambiguated ID Type / Status
Subject Joanne Kyger E1011203 entity
Predicate notableWork P4 FINISHED
Object The Tapestry and the Web
The Tapestry and the Web is a 1965 poetry collection by American poet Joanne Kyger that blends personal narrative with mythic and classical allusions, reflecting her association with the Beat and San Francisco Renaissance movements.
E2124925 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: The Tapestry and the Web | Statement: [Joanne Kyger, notableWork, The Tapestry and the Web]
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: The Tapestry and the Web
Triple: [Joanne Kyger, notableWork, The Tapestry and the Web]
Generated description
The Tapestry and the Web is a 1965 poetry collection by American poet Joanne Kyger that blends personal narrative with mythic and classical allusions, reflecting her association with the Beat and San Francisco Renaissance movements.

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_69f76dcfdda48190b1ebae5da8b54f12 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78596dbd881908ac257a644fac731 completed May 3, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37c631966c8190be6fd1de41a93371 completed June 21, 2026, 11:08 a.m.
NEDg Description generation batch_6a37c6e970f48190b35c179e766c58cc completed June 21, 2026, 11:11 a.m.
NED2 Entity disambiguation (via description) batch_6a37cad6f71c81908794928c0e20ab20 completed June 21, 2026, 11:28 a.m.
Created at: May 3, 2026, 4:01 p.m.