Triple

T25201264
Position Surface form Disambiguated ID Type / Status
Subject Persona 4 (English dub) E631130 entity
Predicate hasMechanic P23573 FINISHED
Object Social Links system
The Social Links system is a character-bonding and progression mechanic in Persona 4 that lets players deepen relationships with various characters to unlock narrative events and gameplay benefits.
E1668738 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: Social Links system | Statement: [Persona 4 (English dub), hasMechanic, Social Links system]
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: Social Links system
Triple: [Persona 4 (English dub), hasMechanic, Social Links system]
Generated description
The Social Links system is a character-bonding and progression mechanic in Persona 4 that lets players deepen relationships with various characters to unlock narrative events and gameplay benefits.

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_69e75a8b86c4819089eda22c843b739f completed April 21, 2026, 11:07 a.m.
NER Named-entity recognition batch_69f474b5e4408190b726bbd038fa3862 completed May 1, 2026, 9:39 a.m.
NED1 Entity disambiguation (via context triple) batch_6a105d2ca93881909c971671b18a372d completed May 22, 2026, 1:42 p.m.
NEDg Description generation batch_6a105dd35e3c8190b6f374a8d5a9a0c6 completed May 22, 2026, 1:44 p.m.
NED2 Entity disambiguation (via description) batch_6a105fa381408190b9343fb060d29374 completed May 22, 2026, 1:52 p.m.
Created at: April 21, 2026, 12:51 p.m.