Triple

T28664929

Position	Surface form	Disambiguated ID	Type / Status
Subject	Mama (2013 film)	`E725561`	entity
Predicate	plotSummary	`P264`	FINISHED
Object	Two young sisters are rescued after years of isolation in a cabin in the woods and are haunted by a mysterious maternal entity they call Mama.	`—`	NE NERFINISHED

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 young sisters are rescued after years of isolation in a cabin in the woods and are haunted by a mysterious maternal entity they call Mama. | Statement: [Mama (2013 film), plotSummary, Two young sisters are rescued after years of isolation in a cabin in the woods and are haunted by a mysterious maternal entity they call Mama.]

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_69f01d85be388190b669a0e401e2f2c4`	completed	April 28, 2026, 2:37 a.m.
NER	Named-entity recognition	`batch_69f655a376d08190ae5cc9a32d950218`	completed	May 2, 2026, 7:50 p.m.

Created at: April 28, 2026, 5 a.m.