Triple
T19553945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dime Trap |
E489258
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Hitmaka |
—
|
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: Hitmaka | Statement: [Dime Trap, producer, Hitmaka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hitmaka Context triple: [Dime Trap, producer, Hitmaka]
-
A.
Hitmaka
chosen
Hitmaka is an American record producer, songwriter, and former rapper known for crafting numerous contemporary hip-hop and R&B hits for major artists.
-
B.
Malasiqui
Malasiqui is a landlocked, agriculture-based municipality located in the province of Pangasinan in the Philippines.
-
C.
Semai
Semai is an Austroasiatic language spoken by the Semai people, an indigenous Orang Asli group in Peninsular Malaysia.
-
D.
Ha*Ash
Ha*Ash is a Mexican-American pop and country-influenced musical duo of sisters known for their romantic ballads and success in the Latin music scene.
-
E.
Loona
Loona is a celebrated Punjabi epic verse play by Shiv Kumar Batalvi that reimagines the traditional legend of Puran Bhagat from the perspective of the vilified stepmother, Loona.
- 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63d3254548190828a5f7e9a851ef8 |
completed | April 20, 2026, 2:50 p.m. |
Created at: April 10, 2026, 1:41 p.m.