Triple
T16082298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trans Continental Records |
E390138
|
entity |
| Predicate | associatedAct |
P37
|
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: [Trans Continental Records, associatedAct, LFO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LFO Context triple: [Trans Continental Records, associatedAct, 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.
Sytrus
Sytrus is a powerful software synthesizer plugin known for its versatile FM, RM, and subtractive synthesis capabilities, widely used for sound design and music production.
-
D.
Fruity Reeverb
Fruity Reeverb is a built-in reverb plugin in FL Studio used to create realistic or creative spatial ambience and depth in audio mixes.
-
E.
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.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1844b86288190ad0452aad6bdd5fb |
completed | April 17, 2026, 12:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeb917b008190b1680b347cfa0892 |
completed | May 10, 2026, 2:21 a.m. |
Created at: April 10, 2026, 4:57 a.m.