Triple
T683592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Comcast |
E13233
|
entity |
| Predicate | owns |
P347
|
FINISHED |
| Object | MSNBC |
E25906
|
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: MSNBC | Statement: [Comcast, owns, MSNBC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MSNBC Context triple: [Comcast, owns, MSNBC]
-
A.
MSNBC
chosen
MSNBC is a U.S.-based cable news and opinion television network known for its liberal-leaning political coverage and analysis.
-
B.
Fox News Channel
Fox News Channel is a major American cable television news network known for its conservative-leaning commentary and wide influence on U.S. political discourse.
-
C.
Fox News International
Fox News International is the global subscription streaming service that delivers Fox News Channel and related programming to audiences outside the United States.
-
D.
CNN
CNN is a major American cable news television channel known for pioneering 24-hour news coverage and live reporting from global events.
-
E.
NBC
NBC is a major American broadcast television network known for its nationwide programming, including news, sports, and entertainment.
- 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_69a4933e0f98819097d22766c49b61b8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a070d4c08190a510a8f9c1ae8076 |
completed | March 1, 2026, 8:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5c3a743c08190be4db12e2ed39ffb |
completed | March 2, 2026, 5:06 p.m. |
Created at: March 1, 2026, 7:36 p.m.