Triple
T15654104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Starter for 10 |
E376385
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Ashley Rowe |
E899172
|
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: Ashley Rowe | Statement: [Starter for 10, cinematographyBy, Ashley Rowe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ashley Rowe Context triple: [Starter for 10, cinematographyBy, Ashley Rowe]
-
A.
Ashley Rowe
chosen
Ashley Rowe is a cinematographer best known for his work on films such as the British black comedy "Keeping Mum."
-
B.
Ashley Walters
Ashley Walters is a British actor and rapper, also known as Asher D, recognized for his roles in film and television including the drama series "Top Boy."
-
C.
Ashley Lyle
Ashley Lyle is an American television writer and producer best known as the co-creator of the critically acclaimed Showtime drama series "Yellowjackets."
-
D.
Ashley Purdy
Ashley Purdy is an American musician and bassist best known for his tenure with the rock band Black Veil Brides.
-
E.
Ashley Webber
Ashley Webber is a musician best known as a member of the Canadian psychedelic rock band Black Mountain.
- 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ef089948190902ec22f4d7bc932 |
completed | April 16, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff28d38a4819085bf051b566c17e7 |
completed | May 10, 2026, 2:50 a.m. |
Created at: April 10, 2026, 4:15 a.m.