Triple

T32615832
Position Surface form Disambiguated ID Type / Status
Subject Channel Zero E833780 entity
Predicate notableSourceMaterial P82162 FINISHED
Object NoEnd House creepypasta
NoEnd House creepypasta is a popular internet horror story about a mysterious haunted house with increasingly terrifying rooms that has inspired adaptations such as the Channel Zero television series.
E2015009 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: NoEnd House creepypasta | Statement: [Channel Zero, notableSourceMaterial, NoEnd House creepypasta]
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: NoEnd House creepypasta
Triple: [Channel Zero, notableSourceMaterial, NoEnd House creepypasta]
Generated description
NoEnd House creepypasta is a popular internet horror story about a mysterious haunted house with increasingly terrifying rooms that has inspired adaptations such as the Channel Zero television series.

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_69f3492bfa648190b6ae472074634e29 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_6a0380985cf48190b9d2cf430332be1a completed May 12, 2026, 7:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a34861c59c48190a14851268ddbd7ba completed June 18, 2026, 11:58 p.m.
NEDg Description generation batch_6a3487b674c481908bc278d93694863c completed June 19, 2026, 12:05 a.m.
NED2 Entity disambiguation (via description) batch_6a348a5e05108190aa1a78461750b83a completed June 19, 2026, 12:16 a.m.
Created at: May 1, 2026, 1:06 a.m.