Triple
T12504061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Death of Stalin |
E298899
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Dermot Crowley |
E224872
|
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: Dermot Crowley | Statement: [The Death of Stalin, castMember, Dermot Crowley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dermot Crowley Context triple: [The Death of Stalin, castMember, Dermot Crowley]
-
A.
Dermot Crowley
chosen
Dermot Crowley is an Irish actor best known for his role as DSU Martin Schenk in the British crime drama series "Luther."
-
B.
Brian Connolly
Brian Connolly was a Scottish singer best known as the lead vocalist of the 1970s glam rock band The Sweet.
-
C.
Brian O’Regan
Brian O’Regan is a chemist and solar energy researcher best known as a co-inventor of the dye-sensitized solar cell, a low-cost alternative to traditional silicon photovoltaics.
-
D.
Dermot McDermott
Dermot McDermott is an individual notable enough to be recognized as a bearer of the surname McDermott, though specific widely known public details about him are not clearly established.
-
E.
Seamus Dever
Seamus Dever is an American actor best known for playing Detective Kevin Ryan on the television series "Castle."
- 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94dfcea188190a929db1aabe1a286 |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6718ad25c8190b4d0d51d48c070dd |
completed | May 2, 2026, 9:50 p.m. |
Created at: April 8, 2026, 9:57 p.m.