Triple

T10096383
Position Surface form Disambiguated ID Type / Status
Subject Justin.tv E215876 entity
Predicate notableAlumni P51 FINISHED
Object Kyle Vogt E38175 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: Kyle Vogt | Statement: [Justin.tv, notableAlumni, Kyle Vogt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kyle Vogt
Context triple: [Justin.tv, notableAlumni, Kyle Vogt]
  • A. Kyle Vogt chosen
    Kyle Vogt is an American entrepreneur and engineer best known as the co-founder and former CEO of the self-driving car company Cruise and earlier as a co-founder of the live-streaming platform Twitch.
  • B. Trent Baalke
    Trent Baalke is an American football executive best known for his tenure as an NFL general manager, including leading front offices for multiple franchises.
  • C. Jason Boesel
    Jason Boesel is an American drummer and songwriter best known for his work with the band Rilo Kiley and collaborations with various indie rock artists.
  • D. Kyle Rote
    Kyle Rote was a former New York Giants star running back and wide receiver who became a prominent American sportscaster and television commentator.
  • E. Adam Bohling
    Adam Bohling is a British film producer known for his work on high-profile action and genre films, including the Kingsman series.
  • 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_69ca83a4947c8190823a7495dc5d96ed completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd0798c248190af675e30e280daa8 completed April 2, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d9333d2e708190b0c8ec679bcb6ade completed April 10, 2026, 5:28 p.m.
Created at: March 30, 2026, 9:02 p.m.