Triple
T19623404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christina Chong |
E471070
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Line of Duty |
—
|
NE NERFINISHED |
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: Line of Duty | Statement: [Christina Chong, appearedIn, Line of Duty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Line of Duty Context triple: [Christina Chong, appearedIn, Line of Duty]
-
A.
Line of Duty
chosen
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.
-
B.
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.
-
C.
Spooks
Spooks is a British television spy drama series centered on the high-stakes operations of MI5 officers.
-
D.
Serious Crime Squad
Serious Crime Squad is a specialized police unit focused on investigating major and high-profile criminal offenses.
-
E.
In the Line of Duty: Kidnapped
In the Line of Duty: Kidnapped is a made-for-television crime drama film produced by Gerald W. Abrams as part of the "In the Line of Duty" series.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e510fa248190b7afb274a1d4cf73 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640e8695c81909268c5a91cdbb7fa |
completed | April 20, 2026, 3:06 p.m. |
Created at: April 10, 2026, 1:44 p.m.