Triple
T10848160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MNEK |
E256069
|
entity |
| Predicate | notableAlbum |
P4
|
FINISHED |
| Object | Language |
E493095
|
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: Language | Statement: [MNEK, notableAlbum, Language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Language Context triple: [MNEK, notableAlbum, Language]
-
A.
Language
chosen
Language is a leading peer-reviewed linguistics journal known for publishing influential research and critical reviews in the field, including Noam Chomsky’s landmark 1959 critique of behaviorist theories.
-
B.
Lang
Lang is the given name of the renowned Chinese concert pianist Lang Lang, celebrated for his virtuosic technique and charismatic performances.
-
C.
Lang
Lang is a common Scottish surname borne by numerous notable figures across literature, politics, and other fields.
-
D.
For language
For language is an alternative name for the Fur language, a Nilo-Saharan language spoken primarily by the Fur people of western Sudan.
-
E.
Langues
Langues were the regional administrative divisions of the Knights Hospitaller, grouping members by their geographic and linguistic origins.
- 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_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75114ca988190a0e730131adb2df0 |
completed | April 9, 2026, 7:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69deb170e714819097babb2b850342d2 |
completed | April 14, 2026, 9:28 p.m. |
Created at: April 8, 2026, 9:20 p.m.