Triple
T16086281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Time of Angels / Flesh and Stone |
E390236
|
entity |
| Predicate | starsActor |
P5563
|
FINISHED |
| Object | Arthur Darvill |
E400331
|
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: Arthur Darvill | Statement: [The Time of Angels / Flesh and Stone, starsActor, Arthur Darvill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arthur Darvill Context triple: [The Time of Angels / Flesh and Stone, starsActor, Arthur Darvill]
-
A.
Arthur Darvill
chosen
Arthur Darvill is an English actor and musician best known for his roles as Rory Williams in Doctor Who and Rip Hunter in DC's Legends of Tomorrow.
-
B.
Kate Fisher
Kate Fisher is the mother of American singer and actor Eddie Fisher.
-
C.
Emma Campbell-Jones
Emma Campbell-Jones is a British actress best known to genre audiences for her role in the Doctor Who universe, including the minisode "The Night of the Doctor."
-
D.
Lena Headey
Lena Headey is an English actress best known for playing Cersei Lannister in the television series "Game of Thrones."
-
E.
Eve Myles
Eve Myles is a Welsh actress best known for her leading roles in the science fiction series "Torchwood" and the drama "Keeping Faith."
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1844f95508190a06dad0ccc9b6191 |
completed | April 17, 2026, 12:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fffeed4e008190b1e8d924b9dc9d37 |
completed | May 10, 2026, 3:43 a.m. |
Created at: April 10, 2026, 4:59 a.m.