Triple

T15063600
Position Surface form Disambiguated ID Type / Status
Subject Monster-in-Law E379698 entity
Predicate plotSummary P264 FINISHED
Object A woman’s relationship with her fiancé is threatened by his overbearing mother, leading to escalating conflict between the two women. 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 woman’s relationship with her fiancé is threatened by his overbearing mother, leading to escalating conflict between the two women. | Statement: [Monster-in-Law, plotSummary, A woman’s relationship with her fiancé is threatened by his overbearing mother, leading to escalating conflict between the two women.]

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_69d85cd7683881908d405c1b5d7b4f7f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dedee803ac81908bb7d66e49c2eb72 completed April 15, 2026, 12:42 a.m.
Created at: April 10, 2026, 3:02 a.m.