Triple
T19982356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Law & Order: UK |
E493846
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | DS Ronnie Brooks |
—
|
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: DS Ronnie Brooks | Statement: [Law & Order: UK, character, DS Ronnie Brooks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DS Ronnie Brooks Context triple: [Law & Order: UK, character, DS Ronnie Brooks]
-
A.
DS Ronnie Brooks
chosen
DS Ronnie Brooks is a veteran London detective and central character in the British television crime drama "Law & Order: UK," portrayed by actor Bradley Walsh.
-
B.
Ronny Marshall
Ronny Marshall is known primarily as the child of American television producer and director Anthony W. Marshall.
-
C.
Ronnie Marshall
Ronnie Marshall is a member of the band Basement, a British rock group known for its melodic hardcore and alternative rock sound.
-
D.
Troy Dyer
Troy Dyer is the brooding, sardonic slacker and aspiring musician who serves as the romantic antihero in the 1994 film "Reality Bites."
-
E.
Brian Brooks
Brian Brooks is an American choreographer and contemporary dance artist known for his innovative movement vocabulary and collaborations with major dancers and companies.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65d13a8a88190bf5f4f697793f4c9 |
completed | April 20, 2026, 5:06 p.m. |
Created at: April 11, 2026, 3:28 p.m.