Triple
T16826868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Cheek |
E409040
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | CJCL |
E301612
|
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: CJCL | Statement: [Tom Cheek, employer, CJCL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CJCL Context triple: [Tom Cheek, employer, CJCL]
-
A.
CJCL
chosen
CJCL is a Toronto-based AM radio station that evolved into Sportsnet 590 The FAN, a prominent all-sports broadcaster in Canada.
-
B.
CLJ
CLJ is the IATA airport code for Cluj International Airport serving the city of Cluj-Napoca in Romania.
-
C.
CLJ
CLJ is the National Rail station code for Clapham Junction, one of the busiest railway stations in the United Kingdom located in south-west London.
-
D.
CLJ
CLJ is a leading academic journal that publishes scholarly articles and commentary on a wide range of legal topics, particularly associated with the University of Cambridge.
-
E.
CJO
CJO is the abbreviated title for the senior military officer responsible for overseeing joint operations across multiple service branches.
- 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_69d88394566c8190b3dcbdc72935f7fa |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b31404c88190a3b2802842ca77eb |
completed | April 18, 2026, 4:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b29e48f881908489bd77a9caec97 |
completed | May 10, 2026, 4:30 p.m. |
Created at: April 10, 2026, 5:23 a.m.