Triple
T9426169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taylor Swift (album) |
E227269
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Troy Verges
Troy Verges is an American songwriter and record producer known for his work in contemporary country and pop music.
|
E800154
|
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 Verges | Statement: [Taylor Swift (album), producer, Troy Verges]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Troy Verges Context triple: [Taylor Swift (album), producer, Troy Verges]
-
A.
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.
-
B.
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.
-
C.
Troy Dannen
Troy Dannen is a collegiate sports executive who serves as the athletic director for the University of Washington Huskies, overseeing the school's athletic programs and operations.
-
D.
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.
-
E.
Troy Miller
Troy Miller is an American film and television director and producer known for his work in comedy specials, series, and feature films.
- 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 Verges Triple: [Taylor Swift (album), producer, Troy Verges]
Generated description
Troy Verges is an American songwriter and record producer known for his work in contemporary country and pop music.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Troy Verges Target entity description: Troy Verges is an American songwriter and record producer known for his work in contemporary country and pop music.
-
A.
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.
-
B.
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.
-
C.
Troy Dannen
Troy Dannen is a collegiate sports executive who serves as the athletic director for the University of Washington Huskies, overseeing the school's athletic programs and operations.
-
D.
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.
-
E.
Troy Miller
Troy Miller is an American film and television director and producer known for his work in comedy specials, series, and feature films.
- 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_69ca8436ba308190903e470776d2d893 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7c908738819081df35c632f35f04 |
completed | April 1, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1102f93488190bd1ae232c1e34830 |
completed | April 4, 2026, 1:20 p.m. |
| NEDg | Description generation | batch_69d114597b1481909623039f2f5c7fb8 |
completed | April 4, 2026, 1:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d114dbfd0c8190b5e2714a6c246486 |
completed | April 4, 2026, 1:40 p.m. |
Created at: March 30, 2026, 7:49 p.m.