Triple

T34710897
Position Surface form Disambiguated ID Type / Status
Subject Summer Wishes, Winter Dreams E1000641 entity
Predicate character P662 FINISHED
Object Rita Walden
Rita Walden is the middle-aged, emotionally discontented New York housewife at the center of the 1973 film "Summer Wishes, Winter Dreams," whose personal crisis drives the story’s exploration of regret and unfulfilled desires.
E2130314 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: Rita Walden | Statement: [Summer Wishes, Winter Dreams, character, Rita Walden]
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: Rita Walden
Triple: [Summer Wishes, Winter Dreams, character, Rita Walden]
Generated description
Rita Walden is the middle-aged, emotionally discontented New York housewife at the center of the 1973 film "Summer Wishes, Winter Dreams," whose personal crisis drives the story’s exploration of regret and unfulfilled desires.

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_69f76dad3f108190a280fd0a2f4ee89a completed May 3, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f77989178881909103cc14f4365eec completed May 3, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3803ea93688190a54b10228dc60ecf completed June 21, 2026, 3:31 p.m.
NEDg Description generation batch_6a38047c41b88190b46ca725d58c5380 completed June 21, 2026, 3:34 p.m.
NED2 Entity disambiguation (via description) batch_6a3804e03f748190b7af1e0090d1b519 completed June 21, 2026, 3:36 p.m.
Created at: May 3, 2026, 3:59 p.m.