Triple

T3146497
Position Surface form Disambiguated ID Type / Status
Subject Celtics Crossover Gaming E65775 entity
Predicate broadcastOn P833 FINISHED
Object YouTube Gaming E2481 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: YouTube Gaming | Statement: [Celtics Crossover Gaming, broadcastOn, YouTube Gaming]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: YouTube Gaming
Context triple: [Celtics Crossover Gaming, broadcastOn, YouTube Gaming]
  • A. Twitch
    Twitch is a leading live-streaming platform, best known for video game broadcasting, esports coverage, and interactive content communities.
  • B. YouTube chosen
    YouTube is a global online video-sharing and streaming platform where users can upload, watch, and interact with a vast range of video content.
  • C. 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.
  • D. Home Game
    Home Game is a non-fiction book by former NHL goaltender and author Ken Dryden that reflects on the culture, meaning, and personal impact of hockey in Canada.
  • E. Jackbox Games channel
    Jackbox Games channel is a subscription-based collection of Jackbox party games available for streaming on platforms like Amazon Luna.
  • 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_69ad8582f564819088c27e1f96153938 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada598ccf08190b8817c456f38f2d7 completed March 8, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224f18e80819083be53c556d56947 completed March 12, 2026, 2:29 a.m.
Created at: March 8, 2026, 3:05 p.m.