Triple

T36963697
Position Surface form Disambiguated ID Type / Status
Subject Clockwork Mansion E914371 entity
Predicate designedByCharacter P32509 FINISHED
Object Kirin Jindosh
Kirin Jindosh is a brilliant yet unhinged inventor and chief engineer in the Dishonored series, known for his lethal mechanical creations and the elaborate, shifting Clockwork Mansion.
E2206276 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: Kirin Jindosh | Statement: [Clockwork Mansion, designedByCharacter, Kirin Jindosh]
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: Kirin Jindosh
Triple: [Clockwork Mansion, designedByCharacter, Kirin Jindosh]
Generated description
Kirin Jindosh is a brilliant yet unhinged inventor and chief engineer in the Dishonored series, known for his lethal mechanical creations and the elaborate, shifting Clockwork Mansion.

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_69f76e8c498c8190b2842db80aea8b3b completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fe9998230481908f2cab9ebf38f3b4 completed May 9, 2026, 2:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3e2c4028cc819096d7482c505b025c completed June 26, 2026, 7:37 a.m.
NEDg Description generation batch_6a3e2cc857a08190b439fa82ce182242 completed June 26, 2026, 7:39 a.m.
NED2 Entity disambiguation (via description) batch_6a3e423d64248190aa833924bdf05432 completed June 26, 2026, 9:11 a.m.
Created at: May 3, 2026, 4:14 p.m.