Triple

T23882474
Position Surface form Disambiguated ID Type / Status
Subject Occasional Wife E600238 entity
Predicate plotSummary P264 FINISHED
Object A bachelor persuades a woman to pose as his wife so he can advance in a company that favors married employees, leading to comedic complications. 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: A bachelor persuades a woman to pose as his wife so he can advance in a company that favors married employees, leading to comedic complications. | Statement: [Occasional Wife, plotSummary, A bachelor persuades a woman to pose as his wife so he can advance in a company that favors married employees, leading to comedic complications.]

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_69e295318e148190b9979d8fc02e168f completed April 17, 2026, 8:16 p.m.
NER Named-entity recognition batch_69f1ccfaef348190b4820b6f3648c60c completed April 29, 2026, 9:18 a.m.
Created at: April 17, 2026, 8:24 p.m.