Triple

T21454944
Position Surface form Disambiguated ID Type / Status
Subject Kris Parker E529316 entity
Predicate alsoKnownAs P39 FINISHED
Object KRS 1 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: KRS 1 | Statement: [Kris Parker, alsoKnownAs, KRS 1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KRS 1
Context triple: [Kris Parker, alsoKnownAs, KRS 1]
  • A. KRS 1 chosen
    KRS 1 is an alternate name for KRS-One, the influential American rapper and hip-hop pioneer known for his work with Boogie Down Productions and his socially conscious lyrics.
  • B. KRS
    KRS is the Polish National Council of the Judiciary, a constitutional body responsible for safeguarding judicial independence and overseeing the appointment of judges in Poland.
  • C. KRS
    KRS is a major masonry dam in Karnataka, India, built across the Kaveri River and known for its role in irrigation, water supply, and the Brindavan Gardens.
  • D. KRS
    KRS is the IATA airport code for Kristiansand Airport, Kjevik, a regional airport in southern Norway.
  • E. RKR
    RKR is the vehicle registration code assigned to vehicles registered in the Rymanów area of Poland.
  • 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_69e0c457579481909db68053ed99750c completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9d612e081909d00ca59a3621cc9 completed April 23, 2026, 9:43 a.m.
Created at: April 16, 2026, 6:08 p.m.