Triple

T12389220
Position Surface form Disambiguated ID Type / Status
Subject MouseHunt (1997 film) E295947 entity
Predicate plotSummary P264 FINISHED
Object Two hapless brothers inherit a dilapidated mansion and wage war against a clever mouse while trying to restore and sell the house. 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: Two hapless brothers inherit a dilapidated mansion and wage war against a clever mouse while trying to restore and sell the house. | Statement: [MouseHunt (1997 film), plotSummary, Two hapless brothers inherit a dilapidated mansion and wage war against a clever mouse while trying to restore and sell the house.]

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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fcf6aa8819080c9a2407a72db2e completed April 10, 2026, 6:22 p.m.
Created at: April 8, 2026, 9:54 p.m.