Triple
T13735340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Megafaun |
E329928
|
entity |
| Predicate | hasRelease |
P22087
|
FINISHED |
| Object | Megafaun (album) |
E329928
|
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: Megafaun (album) | Statement: [Megafaun, hasRelease, Megafaun (album)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Megafaun (album) Context triple: [Megafaun, hasRelease, Megafaun (album)]
-
A.
Megafaun
chosen
Megafaun is an American experimental folk band known for its eclectic blend of folk, psychedelic, and improvisational music, formed by former members of DeYarmond Edison.
-
B.
Wild Beasts
Wild Beasts were an English indie rock band known for their art-rock sensibilities, intricate guitar work, and distinctive falsetto vocals.
-
C.
Big Puma
Big Puma is the nickname of Lance Berkman, a former Major League Baseball All-Star slugger best known for his years with the Houston Astros.
-
D.
Behemoth
Behemoth is a towering steel hypercoaster at Canada's Wonderland known for its massive drops, high speeds, and airtime-filled layout.
-
E.
Behemoth
Behemoth is a large, demonic, talking black cat and one of Woland’s mischievous companions in Mikhail Bulgakov’s novel "The Master and Margarita."
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de020351fc8190a554a48c552e83b5 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d66cb088190be2621753d0a6740 |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:55 p.m.