Triple
T16304776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AHHH HA |
E395878
|
entity |
| Predicate | hasMusicVideo |
P3287
|
FINISHED |
| Object | AHHH HA (music video) |
E395878
|
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: AHHH HA (music video) | Statement: [AHHH HA, hasMusicVideo, AHHH HA (music video)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AHHH HA (music video) Context triple: [AHHH HA, hasMusicVideo, AHHH HA (music video)]
-
A.
AHHH HA
chosen
"AHHH HA" is a 2022 drill-rap track by Lil Durk known for its aggressive delivery and confrontational lyrics within the Chicago rap scene.
-
B.
Ha (Remix)
"Ha (Remix)" is a reworked version of Juvenile's hit single "Ha," featuring additional guest verses and updated production that helped cement the song's impact in late-1990s Southern hip hop.
-
C.
You (Ha Ha Ha)
"You (Ha Ha Ha)" is a song by Czech footballer-turned-musician Patrik Berger, known for its playful, irreverent style.
-
D.
You (Ha Ha Ha)
"You (Ha Ha Ha)" is a song by British singer Charli XCX, known for its catchy synth-pop sound and sharp, confrontational lyrics.
-
E.
A Ha
"A Ha" is a track from the album *True Magic* by American rapper and producer Mos Def.
- 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e288d42f1c81908a6869244d727e99 |
completed | April 17, 2026, 7:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001fa16e3c81908a92225b5b57d711 |
completed | May 10, 2026, 6:03 a.m. |
Created at: April 10, 2026, 5:06 a.m.