Triple

T20449255
Position Surface form Disambiguated ID Type / Status
Subject The Monkey's Mask E501602 entity
Predicate plotSummary P264 FINISHED
Object A lesbian private investigator is hired to find a missing student and becomes involved in a dangerous affair with the victim's poetry lecturer. 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 lesbian private investigator is hired to find a missing student and becomes involved in a dangerous affair with the victim's poetry lecturer. | Statement: [The Monkey's Mask, plotSummary, A lesbian private investigator is hired to find a missing student and becomes involved in a dangerous affair with the victim's poetry lecturer.]

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_69e0b4ac0a1c81908845d0f8a56abce8 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e68cfffae4819086c727f4143c2737 completed April 20, 2026, 8:30 p.m.
Created at: April 16, 2026, 11:32 a.m.