Triple
T3568931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matthew Macfadyen |
E75520
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Spooks |
E199127
|
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: Spooks | Statement: [Matthew Macfadyen, notableWork, Spooks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spooks Context triple: [Matthew Macfadyen, notableWork, Spooks]
-
A.
Spooks
chosen
Spooks is a British television spy drama series centered on the high-stakes operations of MI5 officers.
-
B.
Line of Duty
Line of Duty is a British crime drama television series that follows an anti-corruption police unit investigating complex and morally ambiguous cases within the force.
-
C.
MI-5
MI-5 is a British spy thriller film (also known as "Spooks: The Greater Good") based on the TV series "Spooks," featuring David Oyelowo in a prominent role.
-
D.
Spies
Spies is a German-origin surname most notably associated with August Spies, a prominent 19th-century anarchist and labor activist involved in the Haymarket affair.
-
E.
Spies
Spies is a novel by Michael Frayn that explores childhood memory, secrecy, and the blurred line between imagination and reality in wartime England.
- 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_69ad85d512708190829c8b2d3a2ccfb8 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc0c083ac8190a71cd9ede2114cac |
completed | March 8, 2026, 6:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3bbb3383c8190b14845a7de162502 |
completed | March 13, 2026, 7:24 a.m. |
Created at: March 8, 2026, 3:21 p.m.