Triple

T23125350
Position Surface form Disambiguated ID Type / Status
Subject Dario Franchitti E577013 entity
Predicate team P3756 FINISHED
Object Team KOOL Green NE NERFINISHED

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: Team KOOL Green | Statement: [Dario Franchitti, team, Team KOOL Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Team KOOL Green
Context triple: [Dario Franchitti, team, Team KOOL Green]
  • A. Team Green chosen
    Team Green was a prominent American auto racing team that competed in major open-wheel series before evolving into Andretti Green Racing.
  • B. Team Dresch
    Team Dresch is an influential American queercore punk band known for its fiercely political, LGBTQ+-focused lyrics and role in the 1990s feminist punk underground.
  • C. Team Yell
    Team Yell is a disruptive fanatical supporter group in the Pokémon Sword and Shield games, acting as the villainous team that hinders the player throughout their journey in the Galar region.
  • D. Team Gray
    Team Gray was a robotics team that gained recognition for competing in DARPA’s pioneering autonomous vehicle Grand Challenge.
  • E. Team ECK
    Team ECK was a short-lived but popular World Wrestling Federation stable featuring Kurt Angle, Edge, and Christian, known for their comedic segments and in-ring success during the early 2000s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245f6c2e881909a228fdcfeb7c7d3 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e53ac288190b27fe8064fb576c2 completed April 29, 2026, 4:51 a.m.
Created at: April 17, 2026, 3:59 p.m.