Triple

T29101044
Position Surface form Disambiguated ID Type / Status
Subject Atlus E736639 entity
Predicate developed P73 FINISHED
Object Shin Megami Tensei III: Nocturne
Shin Megami Tensei III: Nocturne is a dark, post-apocalyptic Japanese role-playing game known for its challenging gameplay, demon negotiation system, and philosophical themes.
E1861401 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: Shin Megami Tensei III: Nocturne | Statement: [Atlus, developed, Shin Megami Tensei III: Nocturne]
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: Shin Megami Tensei III: Nocturne
Triple: [Atlus, developed, Shin Megami Tensei III: Nocturne]
Generated description
Shin Megami Tensei III: Nocturne is a dark, post-apocalyptic Japanese role-playing game known for its challenging gameplay, demon negotiation system, and philosophical themes.

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_69f077ec765c81909474c88bcc8bab43 completed April 28, 2026, 9:03 a.m.
NER Named-entity recognition batch_69f661b58ac48190907b6c6e9ccc2c59 completed May 2, 2026, 8:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25a83ffd0881908f9e47189b74c306 completed June 7, 2026, 5:20 p.m.
NEDg Description generation batch_6a25ac8968648190b075ba14bd35f06e completed June 7, 2026, 5:38 p.m.
NED2 Entity disambiguation (via description) batch_6a25b11292e48190823e673d9d093664 completed June 7, 2026, 5:57 p.m.
Created at: April 28, 2026, 11:12 a.m.