Triple
T5160377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Splash Waterfalls |
E116420
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Icedrake |
E497272
|
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: Icedrake | Statement: [Splash Waterfalls, producer, Icedrake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Icedrake Context triple: [Splash Waterfalls, producer, Icedrake]
-
A.
Icedrake
chosen
Icedrake is a music producer known for work associated with the project or collective The Red Light District.
-
B.
Tarasque
The Tarasque is a legendary dragon-like monster from Provençal folklore, famously tamed by Saint Martha and associated with the town of Tarascon in southern France.
-
C.
Crowle
Crowle is a small market town and civil parish situated on the Isle of Axholme in North Lincolnshire, England.
-
D.
Basilisk
The Basilisk is a gigantic, deadly serpent from the Harry Potter series whose gaze can kill and whose venom is among the most lethal magical substances.
-
E.
Burradon
Burradon is a village in Tyne and Wear, England, historically associated with coal mining and situated near Killingworth.
- 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_69bd445edb3881909b93b34d260717fc |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd790613bc819084765cd4ea648dc9 |
completed | March 20, 2026, 4:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bed92b3ab48190900cf5c246dba433 |
completed | March 21, 2026, 5:45 p.m. |
Created at: March 20, 2026, 1:44 p.m.