Triple
T10799509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Mellencamp |
E254801
|
entity |
| Predicate | notableAlbum |
P4
|
FINISHED |
| Object | Uh-Huh |
E344210
|
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: Uh-Huh | Statement: [John Mellencamp, notableAlbum, Uh-Huh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uh-Huh Context triple: [John Mellencamp, notableAlbum, Uh-Huh]
-
A.
Uh Huh
chosen
"Uh Huh" is a pop song by American singer-songwriter Julia Michaels, known for its catchy melody and emotionally candid lyrics about conflicted attraction.
-
B.
Uh Oh
"Uh Oh" is a song by American rapper Talib Kweli from his album *Gutter Rainbows*, showcasing his socially conscious lyricism over a soulful, boom-bap-influenced beat.
-
C.
Mmhmm
"Mmhmm" is a 2004 pop-punk and alternative rock album by Relient K that marked the band's mainstream breakthrough with its energetic sound and introspective lyrics.
-
D.
UHHH
UHHH is the ICAO airport code for Khabarovsk Novy Airport in Khabarovsk, Russia.
-
E.
Yah
Yah is a shortened form of the Hebrew divine name often used in religious texts and songs to refer to the God of Israel.
- 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d733366c408190bfd3b57be5ef2440 |
completed | April 9, 2026, 5:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de566e7d408190946864e28c294075 |
completed | April 14, 2026, 2:59 p.m. |
Created at: April 8, 2026, 9:18 p.m.