Triple

T23749043
Position Surface form Disambiguated ID Type / Status
Subject Shōta Sometani E586905 entity
Predicate notableWork P4 FINISHED
Object The Inerasable
The Inerasable is a Japanese horror film adapted from Fuyumi Ono’s novel, centered on a writer and her tenant investigating a series of unsettling hauntings tied to a cursed apartment.
E1600356 NE FINISHED

How this triple was built (2 steps)

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: The Inerasable | Statement: [Shōta Sometani, notableWork, The Inerasable]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: The Inerasable
Triple: [Shōta Sometani, notableWork, The Inerasable]
Generated description
The Inerasable is a Japanese horror film adapted from Fuyumi Ono’s novel, centered on a writer and her tenant investigating a series of unsettling hauntings tied to a cursed apartment.

Provenance (5 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_69e24908efb08190bf755c3a9b91f222 completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1bcc118dc8190b0b92e402b9a7dd4 completed April 29, 2026, 8:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f53d22d3881908923d08a6f621344 completed May 21, 2026, 6:49 p.m.
NEDg Description generation batch_6a0f56c08b64819099e797e3d28e1bcc completed May 21, 2026, 7:02 p.m.
NED2 Entity disambiguation (via description) batch_6a0f57b518048190ba60a65dcbd7222c completed May 21, 2026, 7:06 p.m.
Created at: April 17, 2026, 7:12 p.m.