Triple
T10848110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MNEK |
E256069
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Tongue |
E605556
|
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: Tongue | Statement: [MNEK, notableWork, Tongue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tongue Context triple: [MNEK, notableWork, Tongue]
-
A.
Tongue
chosen
"Tongue" is a notable musical work by British singer, songwriter, and producer Uzoechi Emenike, better known as MNEK.
-
B.
The Adam’s Apple
The Adam’s Apple is a prominent secondary summit on Vermont’s Mount Mansfield, known for contributing to the mountain’s distinctive human-profile silhouette.
-
C.
Nose
Nose is a city in Osaka Prefecture, Japan, known for its rural landscapes, historic temples, and traditional countryside atmosphere.
-
D.
Glottis
Glottis is a lovable, hot-rod-obsessed demon mechanic who serves as Manny Calavera’s loyal sidekick in the adventure game Grim Fandango.
-
E.
the Nose
The Nose is the absurd, anthropomorphized facial feature that becomes an independent character in Nikolai Gogol’s satirical short story of the same name.
- 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.