Triple

T33299908
Position Surface form Disambiguated ID Type / Status
Subject Paradise E852550 entity
Predicate plotSummary P264 FINISHED
Object After surviving a plane crash and suffering severe burns, a sheltered Christian woman travels to Las Vegas to experience worldly pleasures and question her faith. LITERAL FINISHED

How this triple was built (1 step)

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: After surviving a plane crash and suffering severe burns, a sheltered Christian woman travels to Las Vegas to experience worldly pleasures and question her faith. | Statement: [Paradise, plotSummary, After surviving a plane crash and suffering severe burns, a sheltered Christian woman travels to Las Vegas to experience worldly pleasures and question her faith.]

Provenance (2 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_69f34966ed4c81908dc9dda82d8c7fe3 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6dea6f4808190b52dccc796711906 completed May 3, 2026, 5:35 a.m.
Created at: May 1, 2026, 1:33 a.m.