Triple

T34852292
Position Surface form Disambiguated ID Type / Status
Subject The Sundering E1004629 entity
Predicate mainTheme P261 FINISHED
Object Resurrection
Resurrection is the act or concept of returning from death to life, often central to religious, mythological, and fantasy narratives involving renewal, redemption, or restored existence.
E2115331 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: Resurrection | Statement: [The Sundering, mainTheme, Resurrection]
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: Resurrection
Triple: [The Sundering, mainTheme, Resurrection]
Generated description
Resurrection is the act or concept of returning from death to life, often central to religious, mythological, and fantasy narratives involving renewal, redemption, or restored existence.

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_69f76dba76f0819090643cba102c41ec completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f7815e602c819081f9ce3f5b1d814c completed May 3, 2026, 5:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a377958313c81908ebf5e881319888d completed June 21, 2026, 5:40 a.m.
NEDg Description generation batch_6a377a56f0fc819084db07a2722f39a0 completed June 21, 2026, 5:44 a.m.
NED2 Entity disambiguation (via description) batch_6a377af6ab048190b572cefa83ec6dda completed June 21, 2026, 5:47 a.m.
Created at: May 3, 2026, 4 p.m.