Triple
T3432519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XO Records |
E72370
|
entity |
| Predicate | notableProducer |
P17041
|
FINISHED |
| Object |
DaHeala
DaHeala is a Canadian record producer and songwriter best known for his frequent collaborations with The Weeknd on numerous hit songs and albums.
|
E357307
|
NE FINISHED |
How this triple was built (4 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: [XO Records, notableProducer, DaHeala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DaHeala Context triple: [XO Records, notableProducer, DaHeala]
-
A.
Gudakesha
Gudakesha is an epithet of the warrior prince Arjuna from the Indian epic Mahabharata, highlighting his mastery over sleep and unwavering focus.
-
B.
Dadu’a
Dadu’a is an indigenous local language spoken on Atauro Island, part of Timor-Leste.
-
C.
Sijjin
Sijjin is an Islamic term referring to a record or register in which the deeds of the wicked are inscribed and a place associated with severe punishment in the Hereafter.
-
D.
Daa
Daa is a Norwegian surname most notably associated with Ludvig Kristensen Daa, a 19th-century historian, politician, and cultural figure.
-
E.
Teo-Swa
Teo-Swa is an alternative name for the Teochew language and people, a Southern Min Chinese group originating from the Chaoshan region of eastern Guangdong, China.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: DaHeala Triple: [XO Records, notableProducer, DaHeala]
Generated description
DaHeala is a Canadian record producer and songwriter best known for his frequent collaborations with The Weeknd on numerous hit songs and albums.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DaHeala Target entity description: DaHeala is a Canadian record producer and songwriter best known for his frequent collaborations with The Weeknd on numerous hit songs and albums.
-
A.
Gudakesha
Gudakesha is an epithet of the warrior prince Arjuna from the Indian epic Mahabharata, highlighting his mastery over sleep and unwavering focus.
-
B.
Dadu’a
Dadu’a is an indigenous local language spoken on Atauro Island, part of Timor-Leste.
-
C.
Sijjin
Sijjin is an Islamic term referring to a record or register in which the deeds of the wicked are inscribed and a place associated with severe punishment in the Hereafter.
-
D.
Daa
Daa is a Norwegian surname most notably associated with Ludvig Kristensen Daa, a 19th-century historian, politician, and cultural figure.
-
E.
Teo-Swa
Teo-Swa is an alternative name for the Teochew language and people, a Southern Min Chinese group originating from the Chaoshan region of eastern Guangdong, China.
- F. None of above. chosen
Provenance (5 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_69ad85ae14308190bcbc25cfa0246c0b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb9c077d48190bee40795cab3e422 |
completed | March 8, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3547d3f4c8190bc6811398bd8f080 |
completed | March 13, 2026, 12:04 a.m. |
| NEDg | Description generation | batch_69b3566a6f3c8190a717deb08209c880 |
completed | March 13, 2026, 12:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b356f8f7648190b10e62990634af79 |
completed | March 13, 2026, 12:14 a.m. |
Created at: March 8, 2026, 3:15 p.m.