Triple
T13868753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | After Hours |
E333396
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | DaHeala |
E357307
|
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: DaHeala | Statement: [After Hours, producer, DaHeala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DaHeala Context triple: [After Hours, producer, DaHeala]
-
A.
DaHeala
chosen
DaHeala is a Canadian record producer and songwriter best known for his frequent collaborations with The Weeknd on numerous hit songs and albums.
-
B.
Ta-Ha
Ta-Ha is a chapter (Surah 20) of the Qur’an known for its eloquent narration of the stories of prophets—especially Moses—and its themes of divine guidance, mercy, and spiritual reflection.
-
C.
Bwonsamdi
Bwonsamdi is a powerful loa of death in the Warcraft universe, known for overseeing the spirits of the dead and striking dark bargains with mortals.
-
D.
Daju
The Daju are an ethnic group native to the Darfur region of Sudan and parts of Chad, known for their distinct language cluster and historical sultanates.
-
E.
Hekinan
Hekinan is a coastal industrial city in central Japan known for its manufacturing sector and location along Mikawa Bay in Aichi Prefecture.
- 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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de05c530148190b11704300bbd5f9b |
completed | April 14, 2026, 9:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c70e48788190997562e045f3b014 |
completed | May 3, 2026, 10:07 p.m. |
Created at: April 9, 2026, 10:14 p.m.