Triple
T21988025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Another Green World |
E543013
|
entity |
| Predicate | recordLabel |
P1500
|
FINISHED |
| Object | Editions EG |
—
|
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: Editions EG | Statement: [Another Green World, recordLabel, Editions EG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Editions EG Context triple: [Another Green World, recordLabel, Editions EG]
-
A.
Editions EG
chosen
Editions EG was a British independent record label best known for releasing influential ambient and experimental music, including works by Brian Eno.
-
B.
Egmont Books
Egmont Books is a British children's publishing company best known for producing popular series such as The Railway Series featuring Thomas the Tank Engine.
-
C.
Emblem Editions
Emblem Editions is a Canadian publishing imprint known for releasing literary and contemporary fiction and non-fiction titles under the McClelland & Stewart umbrella.
-
D.
Dunod
Dunod is a French publishing house known for its academic, scientific, and professional books, particularly in fields like science, technology, and business.
-
E.
EDELCA
EDELCA is a Venezuelan state-owned electric utility company primarily responsible for generating and managing hydroelectric power in the country.
- 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_69e0c48136b081908831fa907cc02e18 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1270ad0d48190bd822289ce18195c |
completed | April 28, 2026, 9:30 p.m. |
Created at: April 16, 2026, 8:05 p.m.