Triple
T11166547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Planet Her |
E264173
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Troy Noka
Troy Noka is a music producer known for his work in contemporary R&B and pop, collaborating with prominent artists such as Doja Cat.
|
E908681
|
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: Troy Noka | Statement: [Planet Her, producer, Troy Noka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Troy Noka Context triple: [Planet Her, producer, Troy Noka]
-
A.
Troy Ryan
Troy Ryan is a Canadian ice hockey coach best known for leading the Canadian women’s national team to multiple international successes, including Olympic and World Championship gold medals.
-
B.
Troy Verges
Troy Verges is an American songwriter and record producer known for his work in contemporary country and pop music.
-
C.
Troy Taylor
Troy Taylor is an American R&B record producer and songwriter known for his work with artists such as Trey Songz and Whitney Houston.
-
D.
Troy Nixey
Troy Nixey is a Canadian filmmaker and comic book artist best known for directing the horror film "Don't Be Afraid of the Dark."
-
E.
Troy Barlow
Troy Barlow is a U.S. Army reservist and one of the central soldiers in the 1999 war film "Three Kings," portrayed by Mark Wahlberg.
- 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: Troy Noka Triple: [Planet Her, producer, Troy Noka]
Generated description
Troy Noka is a music producer known for his work in contemporary R&B and pop, collaborating with prominent artists such as Doja Cat.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Troy Noka Target entity description: Troy Noka is a music producer known for his work in contemporary R&B and pop, collaborating with prominent artists such as Doja Cat.
-
A.
Troy Ryan
Troy Ryan is a Canadian ice hockey coach best known for leading the Canadian women’s national team to multiple international successes, including Olympic and World Championship gold medals.
-
B.
Troy Verges
Troy Verges is an American songwriter and record producer known for his work in contemporary country and pop music.
-
C.
Troy Taylor
Troy Taylor is an American R&B record producer and songwriter known for his work with artists such as Trey Songz and Whitney Houston.
-
D.
Troy Nixey
Troy Nixey is a Canadian filmmaker and comic book artist best known for directing the horror film "Don't Be Afraid of the Dark."
-
E.
Troy Barlow
Troy Barlow is a U.S. Army reservist and one of the central soldiers in the 1999 war film "Three Kings," portrayed by Mark Wahlberg.
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e88843cc81909e503f0921c6d297 |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e463945e40819087c6bdbc322a6d54 |
completed | April 19, 2026, 5:09 a.m. |
| NEDg | Description generation | batch_69e46c37efec81908aa709587c37569d |
completed | April 19, 2026, 5:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e47292cdd08190b05c4c8b09f4f918 |
completed | April 19, 2026, 6:13 a.m. |
Created at: April 8, 2026, 9:29 p.m.