Triple

T38626568
Position Surface form Disambiguated ID Type / Status
Subject Fantasy Masterworks E937324 entity
Predicate workIncluded P10663 FINISHED
Object The Drawing of the Dark
The Drawing of the Dark is a historical fantasy novel by Tim Powers that blends myth, magic, and the brewing of a legendary beer against the backdrop of a 16th-century siege of Vienna.
 E2278477 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: The Drawing of the Dark | Statement: [Fantasy Masterworks, workIncluded, The Drawing of the Dark]
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: The Drawing of the Dark
Triple: [Fantasy Masterworks, workIncluded, The Drawing of the Dark]
Generated description
The Drawing of the Dark is a historical fantasy novel by Tim Powers that blends myth, magic, and the brewing of a legendary beer against the backdrop of a 16th-century siege of Vienna.

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_69f76ed5ca3c81909288f61fbf37b359 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcd99798208190a384995e7f48883e completed May 7, 2026, 6:27 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41f450fa8c819081e3ced582be9956 completed June 29, 2026, 4:28 a.m.
NEDg Description generation batch_6a41f55d6f74819085b208204dcd68dc completed June 29, 2026, 4:32 a.m.
NED2 Entity disambiguation (via description) batch_6a41f6229fb8819099ba86f2db3ae6d1 completed June 29, 2026, 4:35 a.m.
Created at: May 3, 2026, 4:32 p.m.