Triple

T34668890
Position Surface form Disambiguated ID Type / Status
Subject Raiden E890325 entity
Predicate alias P39 FINISHED
Object Snake (codename in training VR)
Snake (codename in training VR) is a virtual-reality training alias used by Raiden that references the legendary soldier Solid Snake within the Metal Gear series.
E2106593 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: Snake (codename in training VR) | Statement: [Raiden, alias, Snake (codename in training VR)]
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: Snake (codename in training VR)
Triple: [Raiden, alias, Snake (codename in training VR)]
Generated description
Snake (codename in training VR) is a virtual-reality training alias used by Raiden that references the legendary soldier Solid Snake within the Metal Gear series.

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_69f349d9c59481908b36baa0be093aea completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f722fa31248190a1c9081ce8cfa37b completed May 3, 2026, 10:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a374905c7ac8190ab2332cd67da555e completed June 21, 2026, 2:14 a.m.
NEDg Description generation batch_6a37497cc61c81909b1926658ec7d8d9 completed June 21, 2026, 2:16 a.m.
NED2 Entity disambiguation (via description) batch_6a374a3c4f248190873958f2f5f5f62e completed June 21, 2026, 2:19 a.m.
Created at: May 1, 2026, 2:05 a.m.