Triple

T3929882
Position Surface form Disambiguated ID Type / Status
Subject Whitesnake E93368 entity
Predicate recordLabel P1500 FINISHED
Object EMI E108006 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: EMI | Statement: [Whitesnake, recordLabel, EMI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EMI
Context triple: [Whitesnake, recordLabel, EMI]
  • A. EMI chosen
    EMI was a major British music company and record label group known for signing and distributing many of the world’s leading recording artists.
  • B. EMD
    EMD is the commonly used abbreviation for the Engineering Management Division, a professional group focused on the practice and advancement of engineering management.
  • C. EMD
    EMD is the vehicle registration code assigned to the German town of Emden.
  • D. EMΠ
    EMΠ is the Greek abbreviation for the National Technical University of Athens, one of Greece’s leading engineering and technical universities.
  • E. Minos EMI
    Minos EMI is a Greek record label and music company known for producing and distributing a wide range of Greek and international music.
  • 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_69aed96bfa1081908f7b30f2c647dee6 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeeda7cf3c81909df30744bddbad7e completed March 9, 2026, 3:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5288094408190b5fece72ead94ec1 completed March 14, 2026, 9:21 a.m.
Created at: March 9, 2026, 3:23 p.m.