Triple
T10927958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tim McInnerny |
E258118
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | MI-5 (Spooks) |
E199128
|
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: MI-5 (Spooks) | Statement: [Tim McInnerny, appearedIn, MI-5 (Spooks)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MI-5 (Spooks) Context triple: [Tim McInnerny, appearedIn, MI-5 (Spooks)]
-
A.
MI-5
chosen
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.
-
B.
Spooks
Spooks is a British television spy drama series centered on the high-stakes operations of MI5 officers.
-
C.
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.
-
D.
Midsomer Murders
Midsomer Murders is a long-running British detective drama series set in the fictional English county of Midsomer, known for its picturesque villages and surprisingly high murder rate.
-
E.
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.
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7709da23c819096f4bba1cd4ff5cb |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23bdf678881909cae518ecaacf577 |
completed | April 17, 2026, 1:55 p.m. |
Created at: April 8, 2026, 9:22 p.m.