Triple

T16196442
Position Surface form Disambiguated ID Type / Status
Subject Rostrum Records E393070 entity
Predicate hasNotableRelease P2183 FINISHED
Object K.I.D.S. E584180 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: K.I.D.S. | Statement: [Rostrum Records, hasNotableRelease, K.I.D.S.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: K.I.D.S.
Context triple: [Rostrum Records, hasNotableRelease, K.I.D.S.]
  • A. K.I.D.S. chosen
    K.I.D.S. is a breakout mixtape by American rapper Mac Miller that helped launch his early mainstream popularity.
  • B. Kiddyland
    Kiddyland is a children’s amusement area within Playland Park featuring kid-friendly rides and attractions.
  • C. Bad Kids
    "Bad Kids" is a high-energy pop song by Lady Gaga from her album "Born This Way," celebrating self-acceptance and defiant individuality.
  • D. the Kid
    The Kid is the nameless teenage drifter and violent wanderer who serves as the central, morally ambiguous protagonist of Cormac McCarthy’s novel *Blood Meridian*.
  • E. Kuffs
    Kuffs is a 1992 action-comedy film starring Christian Slater as a wisecracking young man who takes over his murdered brother’s private patrol special police district in San Francisco.
  • 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e222dace848190b1a98e47333b922b completed April 17, 2026, 12:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffff0f352081908324783743e47029 completed May 10, 2026, 3:44 a.m.
Created at: April 10, 2026, 5:02 a.m.