Triple
T14515672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Style (Taylor’s Version) |
E340509
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Christopher Rowe |
E808239
|
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: Christopher Rowe | Statement: [Style (Taylor’s Version), producer, Christopher Rowe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christopher Rowe Context triple: [Style (Taylor’s Version), producer, Christopher Rowe]
-
A.
Christopher Rowe
chosen
Christopher Rowe is a music producer and engineer known for his work on Taylor Swift’s re-recorded albums, including tracks on "Fearless (Taylor’s Version)."
-
B.
Richard Bower
Richard Bower was a 16th-century English musician and court official who directed and trained the boy choristers of the Chapel Royal under the Tudor monarchs.
-
C.
Charlie Rowe
Charlie Rowe is a British actor known for his roles in television dramas and films, including the series "Salvation."
-
D.
Graham Rogers
Graham Rogers is an American actor known for his roles in television series such as "The Kominsky Method," "Quantico," and "Atypical."
-
E.
Steven Waddington
Steven Waddington is a British actor known for his roles in historical and adventure films and television dramas.
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de9a6d82988190b6f957012bcc63d4 |
completed | April 14, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01d196d88190a8fa54468b2de1bb |
completed | May 9, 2026, 9:43 a.m. |
Created at: April 10, 2026, 1:21 a.m.