Triple
T20744714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Blue Lamp |
E510548
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | PC George Dixon |
—
|
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: PC George Dixon | Statement: [The Blue Lamp, character, PC George Dixon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PC George Dixon Context triple: [The Blue Lamp, character, PC George Dixon]
-
A.
PC George Dixon
chosen
PC George Dixon is a fictional, archetypal British police constable who became a beloved symbol of steady, community-focused policing in mid-20th-century UK film and television.
-
B.
PC Andy Mitchell
PC Andy Mitchell is a fictional police constable featured in the British crime film "The Blue Lamp."
-
C.
PC Fancy Smith
PC Fancy Smith is a central police constable character in the long-running British television drama series "Z-Cars."
-
D.
PC Joe Penhale
PC Joe Penhale is a bumbling yet well-meaning village police officer in the British television series "Doc Martin."
-
E.
PC Franeker
PC Franeker is one of the most prestigious and historic Frisian handball tournaments, held annually in Franeker, the Netherlands.
- 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_69e0b4c845e88190b4c5f3ae79291182 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c21197088190951a4c4a7e765891 |
completed | April 21, 2026, 12:17 a.m. |
Created at: April 16, 2026, 12:33 p.m.