Triple
T21873561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yessongs |
E540068
|
entity |
| Predicate | includesSong |
P7178
|
FINISHED |
| Object | Siberian Khatru |
—
|
NE NERFINISHED |
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: Siberian Khatru | Statement: [Yessongs, includesSong, Siberian Khatru]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Siberian Khatru Context triple: [Yessongs, includesSong, Siberian Khatru]
-
A.
Siberian Khatru
chosen
"Siberian Khatru" is a complex, high-energy progressive rock song by the band Yes, noted for its intricate instrumentation and enigmatic lyrics.
-
B.
Mukhrani
Mukhrani is a historic region in eastern Georgia known as the ancestral domain of the princely House of Mukhrani, a branch of the Bagrationi royal dynasty.
-
C.
Kiksht
Kiksht is the traditional Chinookan language historically spoken by the Wasco and related Indigenous peoples of the Columbia River region in the Pacific Northwest.
-
D.
Saru
Saru is a Kelpien Starfleet officer in Star Trek: Discovery, known for his cautious nature, strong moral compass, and eventual rise to command.
-
E.
Mürwik
Mürwik is a district of Flensburg in northern Germany, best known for hosting the last seat of the German government at the end of World War II and for its prominent naval academy.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c478f59081909d54302b57fc1ce3 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0f338757c81908005bfedb52b03cc |
completed | April 28, 2026, 5:49 p.m. |
Created at: April 16, 2026, 7:01 p.m.