Triple

T12348404
Position Surface form Disambiguated ID Type / Status
Subject Kamikaze E294416 entity
Predicate producer P490 FINISHED
Object The Legendary Traxster E184973 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: The Legendary Traxster | Statement: [Kamikaze, producer, The Legendary Traxster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Legendary Traxster
Context triple: [Kamikaze, producer, The Legendary Traxster]
  • A. The Legendary Traxster chosen
    The Legendary Traxster is a Chicago-based hip-hop producer best known for his influential work with artists like Twista and Do or Die, helping define the city's rapid-fire, melodic rap sound.
  • B. Racer-X
    Racer-X is a 1980s post-hardcore/indie rock EP by the band Big Black, known for its abrasive sound, drum machine rhythms, and influential role in underground alternative music.
  • C. Time Trax
    Time Trax is a 1990s science fiction television series about a time-traveling police officer who pursues fugitives from the future hiding in the present.
  • D. Turbo Track
    Turbo Track is a high-speed, vertical roller coaster at Ferrari World Abu Dhabi that launches riders through the park’s iconic red roof.
  • E. Scrambler
    Scrambler is a classic spinning amusement ride located at the Worlds of Fun theme park in Kansas City, Missouri.
  • 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_69d6ab6ccbec8190b09e2d357aa80064 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f7ba17481908b03af7316b28d9b completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671837a5c81908a7f41ac7e2bef59 completed May 2, 2026, 9:49 p.m.
Created at: April 8, 2026, 9:53 p.m.