Triple

T16091521
Position Surface form Disambiguated ID Type / Status
Subject In the Land of Women E390368 entity
Predicate plotSummary P264 FINISHED
Object A young man retreats to suburban Michigan to care for his ailing grandmother and becomes involved in the emotional lives of the women next door. 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 young man retreats to suburban Michigan to care for his ailing grandmother and becomes involved in the emotional lives of the women next door. | Statement: [In the Land of Women, plotSummary, A young man retreats to suburban Michigan to care for his ailing grandmother and becomes involved in the emotional lives of the women next door.]

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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1858d1264819099434d7201614d05 completed April 17, 2026, 12:57 a.m.
Created at: April 10, 2026, 4:59 a.m.