Triple

T37466027
Position Surface form Disambiguated ID Type / Status
Subject The Darkening Dream E931035 entity
Predicate notableCharacter P1481 FINISHED
Object Pastor John Parris
Pastor John Parris is a central religious figure in the dark fantasy novel "The Darkening Dream," known for his pivotal role in the story’s supernatural and moral conflicts.
E2229368 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: Pastor John Parris | Statement: [The Darkening Dream, notableCharacter, Pastor John Parris]
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: Pastor John Parris
Triple: [The Darkening Dream, notableCharacter, Pastor John Parris]
Generated description
Pastor John Parris is a central religious figure in the dark fantasy novel "The Darkening Dream," known for his pivotal role in the story’s supernatural and moral conflicts.

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_69f76ec2af148190897d101070d7f415 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fb8e394c84819083cf2d55d3e7d5a5 completed May 6, 2026, 6:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a408c350b108190ac0a7f933544bd3a completed June 28, 2026, 2:51 a.m.
NEDg Description generation batch_6a408de6d5208190ab2224b2fbdb1ee5 completed June 28, 2026, 2:58 a.m.
NED2 Entity disambiguation (via description) batch_6a408ecbdde0819096614ac9298e3de8 completed June 28, 2026, 3:02 a.m.
Created at: May 3, 2026, 4:17 p.m.