Triple
T6887546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Claudia Karvan |
E158959
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Foxtel |
E86242
|
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: Foxtel | Statement: [Claudia Karvan, employer, Foxtel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Foxtel Context triple: [Claudia Karvan, employer, Foxtel]
-
A.
Foxtel
chosen
Foxtel is a major Australian pay television and streaming company offering a wide range of entertainment, sports, and news content.
-
B.
Optus
Optus is a major Australian telecommunications company providing mobile, internet, and related communication services nationwide.
-
C.
Network Ten
Network Ten is a major Australian commercial television network known for broadcasting popular entertainment, news, and sports programming nationwide.
-
D.
Seven Network
Seven Network is a major Australian commercial free-to-air television network known for broadcasting popular sports, news, and entertainment programming nationwide.
-
E.
Telus Sky
Telus Sky is a distinctive mixed-use skyscraper in downtown Calgary known for its sculpted form and striking LED-illuminated facade.
- 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_69c688342f6c8190ad7eea6ba262db99 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d90e92488190b738676342ac6393 |
completed | March 27, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c742e249508190ac95be97c0409d4a |
completed | March 28, 2026, 2:54 a.m. |
Created at: March 27, 2026, 2:23 p.m.