Triple

T35471714
Position Surface form Disambiguated ID Type / Status
Subject The Scorn E1025223 entity
Predicate createdBy P806 FINISHED
Object Uldren Sov
Uldren Sov is a pivotal Destiny universe character, a disgraced Awoken prince whose tragic fall, murder of Cayde-6, and later rebirth as the Guardian Crow make him one of the series’ most complex and controversial figures.
E2142877 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: Uldren Sov | Statement: [The Scorn, createdBy, Uldren Sov]
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: Uldren Sov
Triple: [The Scorn, createdBy, Uldren Sov]
Generated description
Uldren Sov is a pivotal Destiny universe character, a disgraced Awoken prince whose tragic fall, murder of Cayde-6, and later rebirth as the Guardian Crow make him one of the series’ most complex and controversial figures.

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_69f76dfadba0819083456aadcd6864ea completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f796b1d1548190bacac25b7492581a completed May 3, 2026, 6:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3840381efc8190a1fefc74c15050a5 completed June 21, 2026, 7:49 p.m.
NEDg Description generation batch_6a3842e416b881908db482cd2158c027 completed June 21, 2026, 8 p.m.
NED2 Entity disambiguation (via description) batch_6a384377c2508190ae6a25dc657b84ab completed June 21, 2026, 8:03 p.m.
Created at: May 3, 2026, 4:04 p.m.