Triple

T29101046
Position Surface form Disambiguated ID Type / Status
Subject Atlus E736639 entity
Predicate developed P73 FINISHED
Object Shin Megami Tensei V
Shin Megami Tensei V is a post-apocalyptic role-playing game in the long-running Shin Megami Tensei series, known for its demon negotiation, challenging turn-based combat, and philosophical themes about law, chaos, and morality.
E1866813 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 V | Statement: [Atlus, developed, Shin Megami Tensei V]
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 V
Triple: [Atlus, developed, Shin Megami Tensei V]
Generated description
Shin Megami Tensei V is a post-apocalyptic role-playing game in the long-running Shin Megami Tensei series, known for its demon negotiation, challenging turn-based combat, and philosophical themes about law, chaos, and morality.

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_6a25d8fa9ea48190b923d7cc0d7771b5 completed June 7, 2026, 8:47 p.m.
NEDg Description generation batch_6a25dd6cf59c8190a133dd2b6c674860 completed June 7, 2026, 9:06 p.m.
NED2 Entity disambiguation (via description) batch_6a25e187fdec819097a53d52d903c601 completed June 7, 2026, 9:24 p.m.
Created at: April 28, 2026, 11:12 a.m.