Triple
T20107020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EMI America |
E490203
|
entity |
| Predicate | ownedBy |
P347
|
FINISHED |
| Object | EMI Group |
—
|
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: EMI Group | Statement: [EMI America, ownedBy, EMI Group]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EMI Group Context triple: [EMI America, ownedBy, EMI Group]
-
A.
EMI Group
chosen
EMI Group was a major British music company and record label conglomerate known for its influential role in the global recording industry.
-
B.
Kent Group
The Kent Group is a remote cluster of small islands in Bass Strait, Tasmania, known for its rugged landscapes, rich marine life, and protected conservation areas.
-
C.
HSB Group
HSB Group is a financial services company best known for providing banking and insurance solutions under the HSB brand.
-
D.
EMI America
EMI America was a U.S.-based record label under the EMI umbrella, known for releasing popular rock and pop music during the late 20th century.
-
E.
Thales Group
Thales Group is a French multinational company specializing in aerospace, defense, security, and transportation technologies and systems.
- 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_69da62636cc08190982cc71733a17b8d |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e666dcb8d4819091889e19dd9137a6 |
completed | April 20, 2026, 5:48 p.m. |
Created at: April 11, 2026, 11:28 p.m.