Triple
T202908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irin Carmon |
E4544
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object |
MSNBC
MSNBC is a U.S.-based cable news and opinion television network known for its liberal-leaning political coverage and analysis.
|
E25906
|
NE FINISHED |
How this triple was built (4 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: [Irin Carmon, employer, MSNBC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MSNBC Context triple: [Irin Carmon, employer, MSNBC]
-
A.
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.
-
B.
CNN
CNN is a major American cable news television channel known for pioneering 24-hour news coverage and live reporting from global events.
-
C.
NBC
NBC is a major American broadcast television network known for its nationwide programming, including news, sports, and entertainment.
-
D.
ABC News
ABC News is the news division of the American Broadcasting Company, providing television, digital, and radio news coverage in the United States and internationally.
-
E.
HLN
HLN is an American cable news channel, originally launched as CNN Headline News, that focuses on concise news updates and true-crime programming.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: MSNBC Triple: [Irin Carmon, employer, MSNBC]
Generated description
MSNBC is a U.S.-based cable news and opinion television network known for its liberal-leaning political coverage and analysis.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MSNBC Target entity description: MSNBC is a U.S.-based cable news and opinion television network known for its liberal-leaning political coverage and analysis.
-
A.
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.
-
B.
CNN
CNN is a major American cable news television channel known for pioneering 24-hour news coverage and live reporting from global events.
-
C.
NBC
NBC is a major American broadcast television network known for its nationwide programming, including news, sports, and entertainment.
-
D.
ABC News
ABC News is the news division of the American Broadcasting Company, providing television, digital, and radio news coverage in the United States and internationally.
-
E.
HLN
HLN is an American cable news channel, originally launched as CNN Headline News, that focuses on concise news updates and true-crime programming.
- F. None of above. chosen
Provenance (5 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_69a25737567c81908f9c505300239181 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25be7337481909f4937fc1a06fb53 |
completed | Feb. 28, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a32813ed0c8190bebd5129eb5ebfe7 |
completed | Feb. 28, 2026, 5:38 p.m. |
| NEDg | Description generation | batch_69a32878fab08190958af14704020692 |
completed | Feb. 28, 2026, 5:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3290cda5481909b6e04cb869d60d8 |
completed | Feb. 28, 2026, 5:42 p.m. |
Created at: Feb. 28, 2026, 2:51 a.m.