Triple
T13788601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | president of CNBC |
E331330
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | CNBC |
E65797
|
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: CNBC | Statement: [president of CNBC, employer, CNBC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CNBC Context triple: [president of CNBC, employer, CNBC]
-
A.
CNBC
chosen
CNBC is an American business news television channel known for its real-time financial market coverage and economic analysis.
-
B.
Bloomberg Television
Bloomberg Television is a global 24-hour business and financial news television network owned by Bloomberg L.P., known for its real-time market coverage and analysis.
-
C.
Bloomberg News
Bloomberg News is a global financial and business news organization known for its real-time market coverage, data-driven reporting, and multimedia journalism.
-
D.
Bloomberg Radio
Bloomberg Radio is a 24-hour business and financial news radio network operated by Bloomberg L.P., featuring market updates, economic analysis, and interviews with industry leaders.
-
E.
Bloomberg
Bloomberg is a global financial, software, data, and media company best known for its real-time financial information terminals and business news services.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0249e4f88190a80316394940627d |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b07f5cf48190b59827efb5918a95 |
completed | May 3, 2026, 8:30 p.m. |
Created at: April 9, 2026, 10:11 p.m.