Triple
T3063653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lifetime |
E62053
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Cable Health Network |
E48017
|
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: Cable Health Network | Statement: [Lifetime, formerName, Cable Health Network]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cable Health Network Context triple: [Lifetime, formerName, Cable Health Network]
-
A.
Sunshine Network
Sunshine Network is a regional sports television network known for broadcasting local and collegiate sporting events.
-
B.
A&E Network
chosen
A&E Network is an American cable and satellite television channel known for its original programming, including documentaries, reality series, and high-quality scripted productions.
-
C.
MSG Network
MSG Network is a regional sports television network based in New York, best known for broadcasting New York Knicks and Rangers games and related programming.
-
D.
Live Well Network
Live Well Network is a lifestyle-oriented digital multicast television network in the United States featuring programming on topics such as health, home, food, and travel.
-
E.
Essentia Health
Essentia Health is a regional, integrated healthcare system that operates hospitals and clinics across the upper Midwest of the United States.
- 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_69ad85793e5c8190a358049bc4a98d8c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ad9ea088fc819090b9d5bbcb268671 |
completed | March 8, 2026, 4:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1ef118cb48190a1f666ead7c19a12 |
completed | March 11, 2026, 10:39 p.m. |
Created at: March 8, 2026, 3:02 p.m.