Triple

T14358982
Position Surface form Disambiguated ID Type / Status
Subject The Chef E356045 entity
Predicate recordLabel P1500 FINISHED
Object Ice H2O Records E356052 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: Ice H2O Records | Statement: [The Chef, recordLabel, Ice H2O Records]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ice H2O Records
Context triple: [The Chef, recordLabel, Ice H2O Records]
  • A. Ice H2O Records chosen
    Ice H2O Records is an independent hip-hop record label founded by Wu-Tang Clan member Raekwon to release his music and develop other rap artists.
  • B. Icy Records
    Icy Records is the independent music label founded by American rapper Saweetie to release her own projects and related ventures.
  • C. ICE T
    ICE T is a tilting high-speed train variant of Germany’s InterCityExpress fleet designed for faster travel on curving conventional lines.
  • D. Beluga Heights Records
    Beluga Heights Records is a record label known for developing and promoting pop and reggae-influenced artists such as Sean Kingston.
  • E. Icehouse (band)
    Icehouse is an Australian rock and synth-pop band, led by singer-songwriter Iva Davies, known for hits like "Electric Blue" and "Great Southern Land."
  • 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8f52ca7881908704eef20228aed3 completed April 14, 2026, 7:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c48dd408190ac45ad4ca6f610c3 completed May 8, 2026, 2:36 a.m.
Created at: April 10, 2026, 1:15 a.m.