Triple
T1737241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WCBS-TV |
E37946
|
entity |
| Predicate | branding |
P1500
|
FINISHED |
| Object | CBS 2 |
E37946
|
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: CBS 2 | Statement: [WCBS-TV, branding, CBS 2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CBS 2 Context triple: [WCBS-TV, branding, CBS 2]
-
A.
CBS
CBS is a major American broadcast television network known for airing a wide range of popular news, sports, and entertainment programming nationwide.
-
B.
CBS
CBS is a leading graduate business school of Columbia University in New York City, renowned for its MBA and finance programs.
-
C.
WCBS-TV
chosen
WCBS-TV is the primary New York City television station of the CBS network, serving as its main owned-and-operated outlet.
-
D.
CBS News
CBS News is a major American television and digital news division known for producing national and international news programs and journalism for the CBS network.
-
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_69a8861cc6ac8190ac0b2e31ccf62851 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa63a47cd481909c211e4da7f5dfe9 |
completed | March 6, 2026, 5:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad8b03303c8190a301dca327bf9f47 |
completed | March 8, 2026, 2:43 p.m. |
Created at: March 4, 2026, 7:30 p.m.