Triple

T30536687
Position Surface form Disambiguated ID Type / Status
Subject The Three Faces of Eve (1957 film) E777166 entity
Predicate portrays P264 FINISHED
Object Chris Costner Sizemore
Chris Costner Sizemore was an American woman whose real-life case of multiple personality disorder became famous as the basis for the book and film "The Three Faces of Eve."
E1919168 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: Chris Costner Sizemore | Statement: [The Three Faces of Eve (1957 film), portrays, Chris Costner Sizemore]
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: Chris Costner Sizemore
Triple: [The Three Faces of Eve (1957 film), portrays, Chris Costner Sizemore]
Generated description
Chris Costner Sizemore was an American woman whose real-life case of multiple personality disorder became famous as the basis for the book and film "The Three Faces of Eve."

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_69f2249d183c8190b79937c1768d2163 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f68850f3088190b84f1b63101d47e9 completed May 2, 2026, 11:27 p.m.
NED1 Entity disambiguation (via context triple) batch_6a27be843bec81908758effa0ba105a8 completed June 9, 2026, 7:19 a.m.
NEDg Description generation batch_6a27c45dca6481908c22f507c611055a completed June 9, 2026, 7:44 a.m.
NED2 Entity disambiguation (via description) batch_6a27c4be47348190888d9376d3a6b0c9 completed June 9, 2026, 7:46 a.m.
Created at: April 29, 2026, 8:18 p.m.