Triple

T24678429
Position Surface form Disambiguated ID Type / Status
Subject Dr. Jaquith E611055 entity
Predicate guides P488 FINISHED
Object Charlotte Vale toward self-acceptance
Charlotte Vale toward self-acceptance is the emotional and psychological journey of a repressed woman gradually learning to value and assert herself.
 E1645349 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: Charlotte Vale toward self-acceptance | Statement: [Dr. Jaquith, guides, Charlotte Vale toward self-acceptance]
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: Charlotte Vale toward self-acceptance
Triple: [Dr. Jaquith, guides, Charlotte Vale toward self-acceptance]
Generated description
Charlotte Vale toward self-acceptance is the emotional and psychological journey of a repressed woman gradually learning to value and assert herself.

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_69e2c4d5c2dc8190ac857dea25ec6ce9 completed April 17, 2026, 11:40 p.m.
NER Named-entity recognition batch_69f40fbe0b888190889cf9a529e84aac completed May 1, 2026, 2:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1004ab304881908a4a8617c1bc9f63 completed May 22, 2026, 7:24 a.m.
NEDg Description generation batch_6a10079f208c81908f5683ebb2401950 completed May 22, 2026, 7:37 a.m.
NED2 Entity disambiguation (via description) batch_6a100857ceec81909d4a9169cb7cafe3 completed May 22, 2026, 7:40 a.m.
Created at: April 18, 2026, 3:07 a.m.