Triple
T8849776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Jenkins |
E210606
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Network Ten |
E59113
|
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: Network Ten | Statement: [Michael Jenkins, employer, Network Ten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Network Ten Context triple: [Michael Jenkins, employer, Network Ten]
-
A.
Network Ten
chosen
Network Ten is a major Australian commercial television network known for broadcasting popular entertainment, news, and sports programming nationwide.
-
B.
Seven Network
Seven Network is a major Australian commercial free-to-air television network known for broadcasting popular sports, news, and entertainment programming nationwide.
-
C.
Nine Network
Nine Network is a major Australian commercial television network known for broadcasting popular news, sports, and entertainment programming nationwide.
-
D.
Carlton Television
Carlton Television was a major British television production and broadcasting company, best known as one of the ITV network’s key regional franchises in the 1990s and early 2000s.
-
E.
Foxtel
Foxtel is a major Australian pay television and streaming company offering a wide range of entertainment, sports, and news content.
- 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_69ca838a424c8190b1ecac115c2927e7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60abb0748190af41d4e1f419e39c |
completed | April 1, 2026, 12:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf89c6788881908d6f5c49434b556d |
completed | April 3, 2026, 9:35 a.m. |
Created at: March 30, 2026, 6:49 p.m.