Triple
T8431706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MI-5 |
E199128
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Spooks franchise |
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 franchise | Statement: [MI-5, partOf, Spooks franchise]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spooks franchise Context triple: [MI-5, partOf, Spooks franchise]
-
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.
MI7
MI7 is a fictional British intelligence agency portrayed in the Johnny English comedy film series as a parody of real-life organizations like MI5 and MI6.
-
E.
The Spy Who Came in from the Cold (franchise)
The Spy Who Came in from the Cold franchise is a Cold War espionage series centered on John le Carré’s classic spy novel and its adaptations, exploring morally ambiguous intelligence operations and political intrigue.
- 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_69ca8313c99081909a5c6d83b91de5b3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbd1a4876c81908d5a708bb1f35683 |
completed | March 31, 2026, 1:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4db8bd5481909bb41053832f60ba |
completed | April 2, 2026, 11:06 a.m. |
Created at: March 30, 2026, 6:07 p.m.