Triple
T5138815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danny Baker |
E115894
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | LBC |
E249905
|
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: LBC | Statement: [Danny Baker, employer, LBC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LBC Context triple: [Danny Baker, employer, LBC]
-
A.
LBC
chosen
LBC is a leading UK-based national talk radio station known for its news, politics, and phone-in discussion programmes.
-
B.
LMBC
LMBC is the abbreviation for Lady Margaret Boat Club, the rowing club of St John’s College, Cambridge, known for its strong tradition in college rowing.
-
C.
LBN
LBN is the three-letter ISO 3166-1 alpha-3 country code for Lebanon.
-
D.
LB
LB is the two-letter ISO 3166-1 alpha-2 country code representing Lebanon.
-
E.
LB
LB is the former New York Stock Exchange ticker symbol for L Brands, the American retail company that owned brands such as Victoria’s Secret and Bath & Body Works.
- 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_69bd44459a988190a772a5c2ec6a1965 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd787acd18819087f09db885893c3e |
completed | March 20, 2026, 4:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bec4d342c8819088f67c01d3769a6d |
completed | March 21, 2026, 4:18 p.m. |
Created at: March 20, 2026, 1:43 p.m.