Triple

T11338588
Position Surface form Disambiguated ID Type / Status
Subject John Green E268535 entity
Predicate cofounderOf P4562 FINISHED
Object VidCon E698706 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: VidCon | Statement: [John Green, cofounderOf, VidCon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VidCon
Context triple: [John Green, cofounderOf, VidCon]
  • A. VidCon (various years) chosen
    VidCon (various years) is a major annual convention for online video creators, fans, and industry professionals, best known for its focus on YouTube and digital content culture.
  • B. TwitchCon convention
    TwitchCon convention is an annual fan and creator event celebrating the Twitch streaming community with live shows, gaming, meet-and-greets, and industry panels.
  • C. VIDN
    VIDN is the four-letter ICAO airport code assigned to Noida International Airport in Uttar Pradesh, India.
  • D. Tank Stream
    Tank Stream is a historic watercourse in central Sydney that once served as the colony’s primary freshwater supply and now runs mostly underground beneath the modern city.
  • E. VK Video
    VK Video is the video hosting and streaming platform integrated into the Russian social networking service VK, offering users tools to upload, share, and watch video content.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea008b5081908e6c6c6fc29ef936 completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5433d3e848190ad4f51c23d5a8bb2 completed April 19, 2026, 9:03 p.m.
Created at: April 8, 2026, 9:33 p.m.