Triple

T36916587
Position Surface form Disambiguated ID Type / Status
Subject Elizabeth Stuart Phelps E913059 entity
Predicate notableWork P4 FINISHED
Object The Story of Avis
The Story of Avis is an 1877 feminist novel by Elizabeth Stuart Phelps that follows a woman artist struggling to balance her creative ambitions with the constraints of marriage and 19th-century gender expectations.
E2205447 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 Story of Avis | Statement: [Elizabeth Stuart Phelps, notableWork, The Story of Avis]
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 Story of Avis
Triple: [Elizabeth Stuart Phelps, notableWork, The Story of Avis]
Generated description
The Story of Avis is an 1877 feminist novel by Elizabeth Stuart Phelps that follows a woman artist struggling to balance her creative ambitions with the constraints of marriage and 19th-century gender expectations.

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_69f76e885b848190bad82c87e9525486 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fb55ad44bc8190a802bdaab36adc94 completed May 6, 2026, 2:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3e162c27d48190be137eed05ddf08d completed June 26, 2026, 6:03 a.m.
NEDg Description generation batch_6a3e1a1aba9881908a0eba6d1fecb527 completed June 26, 2026, 6:20 a.m.
NED2 Entity disambiguation (via description) batch_6a3e2793859481908bf72829b146edfe completed June 26, 2026, 7:17 a.m.
Created at: May 3, 2026, 4:13 p.m.