Triple

T33005066
Position Surface form Disambiguated ID Type / Status
Subject Edward Gardner Lewis E844474 entity
Predicate notableWork P4 FINISHED
Object Woman’s Magazine
Woman’s Magazine was a widely circulated early 20th-century American periodical founded and published by Edward Gardner Lewis, known for its blend of domestic advice, fiction, and progressive content aimed at women readers.
 E2031516 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: Woman’s Magazine | Statement: [Edward Gardner Lewis, notableWork, Woman’s Magazine]
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: Woman’s Magazine
Triple: [Edward Gardner Lewis, notableWork, Woman’s Magazine]
Generated description
Woman’s Magazine was a widely circulated early 20th-century American periodical founded and published by Edward Gardner Lewis, known for its blend of domestic advice, fiction, and progressive content aimed at women readers.

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_69f3494e59f08190b9127c693e5c7e8f completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d279ab0c8190bd19373851ddefe3 completed May 3, 2026, 4:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34dacec4b081909ff2bd7951a9c541 completed June 19, 2026, 5:59 a.m.
NEDg Description generation batch_6a34db4fc32c8190a2277b24a9031669 completed June 19, 2026, 6:01 a.m.
NED2 Entity disambiguation (via description) batch_6a34dbec0c9c8190ac5b263151322aba completed June 19, 2026, 6:04 a.m.
Created at: May 1, 2026, 1:23 a.m.