Triple

T29579760
Position Surface form Disambiguated ID Type / Status
Subject Dan Howell E753543 entity
Predicate startedYouTubeChannel P89504 FINISHED
Object danisnotonfire
danisnotonfire is the former online alias and YouTube channel name of British creator Dan Howell, known for his comedic, self-deprecating vlogs and collaborations with Phil Lester.
 E1874762 NE FINISHED

How this triple was built (3 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: danisnotonfire | Statement: [Dan Howell, startedYouTubeChannel, danisnotonfire]
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: danisnotonfire
Triple: [Dan Howell, startedYouTubeChannel, danisnotonfire]
Generated description
danisnotonfire is the former online alias and YouTube channel name of British creator Dan Howell, known for his comedic, self-deprecating vlogs and collaborations with Phil Lester.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: startedYouTubeChannel
Context triple: [Dan Howell, startedYouTubeChannel, danisnotonfire]
  • A. operatesYouTubeChannel chosen
    Indicates that one entity manages and runs a YouTube channel as its owner or primary operator.
  • B. hasYouTubeChannelURL
    Indicates that an entity has an associated URL pointing to its YouTube channel.
  • C. YouTubeChannel
    Indicates that an entity is a YouTube channel, i.e., a content-publishing account or channel on the YouTube platform.
  • D. YouTubeMilestone
    Indicates that an entity has reached a specific achievement or threshold related to YouTube activity or metrics.
  • E. YouTubeChannelName
    Indicates the specific name assigned to a YouTube channel that identifies it on the platform.
  • F. None of above.

Provenance (6 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_69f0ef80bf8c8190ad286e99f7df0c63 completed April 28, 2026, 5:33 p.m.
NER Named-entity recognition batch_69fe766490c081908c49c8cc07d0ae9b completed May 8, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a262d72afbc8190906c6ab972cb6d3c completed June 8, 2026, 2:48 a.m.
NEDg Description generation batch_6a263163ffb08190b378d03e637e6e41 completed June 8, 2026, 3:05 a.m.
NED2 Entity disambiguation (via description) batch_6a26366e65a081908a92fcba16441277 completed June 8, 2026, 3:26 a.m.
PD Predicate disambiguation batch_69fe75bb5f4481908572a5ffcbdc5154 completed May 8, 2026, 11:46 p.m.
Created at: April 28, 2026, 6:05 p.m.