Triple
T17157503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biffy Clyro |
E416381
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Mountains |
E510204
|
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: Mountains | Statement: [Biffy Clyro, notableSong, Mountains]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mountains Context triple: [Biffy Clyro, notableSong, Mountains]
-
A.
Mountains
chosen
Mountains is an episode of the BBC nature documentary series Planet Earth II that explores wildlife and ecosystems in some of the world’s highest and most remote mountain ranges.
-
B.
Monts
Monts is a commune in central France’s Indre-et-Loire department, known for its historic Château de Candé and its location near Tours.
-
C.
Mountain
Mountain is the nickname of Harlan "Mountain" McClintock, a character from the television series The Twilight Zone.
-
D.
Montagne
Montagne was a prominent French ship of the line that served as the flagship of the French fleet during the late 18th century.
-
E.
Bone Mountains
Bone Mountains is a rugged mountain range that forms the eastern boundary of the Grasslands region.
- 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f40bf9ec8190b16372bcd091db9b |
completed | April 18, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0148356a8081909d0c82db32b3a744 |
completed | May 11, 2026, 3:08 a.m. |
Created at: April 10, 2026, 5:37 a.m.