Triple

T15195836
Position Surface form Disambiguated ID Type / Status
Subject Warp E363136 entity
Predicate notableArtist P601 FINISHED
Object LFO E709561 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: LFO | Statement: [Warp, notableArtist, LFO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LFO
Context triple: [Warp, notableArtist, LFO]
  • A. LFO chosen
    LFO is a pioneering British electronic music act known for helping define the early 1990s techno and bleep scene.
  • B. LFOB
    LFOB is the ICAO airport code for Beauvais–Tillé Airport, a regional international airport serving the Beauvais area near Paris, France.
  • C. Linn LM-1 drum machine
    The Linn LM-1 is an early digital drum machine famed for its realistic sampled drum sounds and its central role in shaping the 1980s Minneapolis funk and pop sound.
  • D. LinnDrum
    The LinnDrum is a pioneering digital drum machine from the early 1980s that became iconic for its punchy, programmable sounds and heavy use in pop, rock, and R&B productions of that era.
  • E. LFOK
    LFOK is the ICAO airport code for Châlons Vatry Airport, a French airport in the Champagne region used for both cargo and passenger operations.
  • 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_69d85a09a39c81908759f23268e2d408 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0067fcc788190abdc083d4eadeb36 completed April 15, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed3324fdc8190b31d4d2fcaffc57a completed May 9, 2026, 6:24 a.m.
Created at: April 10, 2026, 3:10 a.m.