Triple

T24678487
Position Surface form Disambiguated ID Type / Status
Subject Charlotte Vale E611057 entity
Predicate undergoesTreatmentAt P8558 FINISHED
Object Cascade sanitarium
Cascade sanitarium is the fictional psychiatric clinic in the novel and film "Now, Voyager" where Charlotte Vale receives transformative mental health treatment.
E1644477 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: Cascade sanitarium | Statement: [Charlotte Vale, undergoesTreatmentAt, Cascade sanitarium]
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: Cascade sanitarium
Triple: [Charlotte Vale, undergoesTreatmentAt, Cascade sanitarium]
Generated description
Cascade sanitarium is the fictional psychiatric clinic in the novel and film "Now, Voyager" where Charlotte Vale receives transformative mental health treatment.

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_6a1007a003608190bc0a7fad58aba325 completed May 22, 2026, 7:37 a.m.
NED2 Entity disambiguation (via description) batch_6a100802de9c8190bf806c1c38ea9f4a completed May 22, 2026, 7:38 a.m.
Created at: April 18, 2026, 3:07 a.m.