Triple
T3378683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Years and Years |
E71126
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Rory Kinnear |
E156041
|
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: Rory Kinnear | Statement: [Years and Years, portrayedBy, Rory Kinnear]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rory Kinnear Context triple: [Years and Years, portrayedBy, Rory Kinnear]
-
A.
Rory Kinnear
chosen
Rory Kinnear is an acclaimed English actor known for his work in film, television, and theatre, including roles in the James Bond franchise and the series "Penny Dreadful."
-
B.
Joel Murray
Joel Murray is an American actor and comedian known for his character roles in film and television, as well as for his voice work in animated projects.
-
C.
Tim Healy
Tim Healy was an Irish nationalist politician, lawyer, and writer who became the first Governor-General of the Irish Free State.
-
D.
John Ales
John Ales is an American actor known for his character roles in film and television, including a notable appearance in the comedy film "The Nutty Professor" (1996).
-
E.
Thomas Haden Church
Thomas Haden Church is an American actor known for roles in the TV series "Wings" and films such as "Sideways" and "Spider-Man 3."
- 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_69ad85a7f80c8190a05e43013f298942 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb2eacb5c81908071a1dacc9a897a |
completed | March 8, 2026, 5:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b367ee84408190b167673d6f7ba6b0 |
completed | March 13, 2026, 1:27 a.m. |
Created at: March 8, 2026, 3:14 p.m.