Triple

T30399794
Position Surface form Disambiguated ID Type / Status
Subject Radiance E773317 entity
Predicate hasPart P35 FINISHED
Object Radiance, Part 42
Radiance, Part 42 is an installment of the serialized work "Radiance," continuing its ongoing narrative in that specific segment.
 E1979058 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: Radiance, Part 42 | Statement: [Radiance, hasPart, Radiance, Part 42]
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: Radiance, Part 42
Triple: [Radiance, hasPart, Radiance, Part 42]
Generated description
Radiance, Part 42 is an installment of the serialized work "Radiance," continuing its ongoing narrative in that specific segment.

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_69f2248facd48190b183c3f3ca6daef7 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f6861706248190a1133c8aa35580cf completed May 2, 2026, 11:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2d9d2945908190ba80400697b4a875 completed June 13, 2026, 6:10 p.m.
NEDg Description generation batch_6a2d9dd8096c819096ed498f00e39986 completed June 13, 2026, 6:13 p.m.
NED2 Entity disambiguation (via description) batch_6a2e5758c928819093a8d66af4ca0d14 completed June 14, 2026, 7:25 a.m.
Created at: April 29, 2026, 8:03 p.m.