Triple
T4206713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The French Chef |
E93799
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | WGBH-TV |
E178162
|
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: WGBH-TV | Statement: [The French Chef, productionCompany, WGBH-TV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WGBH-TV Context triple: [The French Chef, productionCompany, WGBH-TV]
-
A.
WGBH Boston
chosen
WGBH Boston is a major American public television and radio broadcaster known for producing influential educational and science programs for PBS.
-
B.
WCVB-TV
WCVB-TV is a Boston-based television station serving as the ABC network affiliate for the Greater Boston area.
-
C.
WNET
WNET is a major New York City public television station and one of the primary flagship producers of national programming for PBS.
-
D.
Corporation for Public Broadcasting
The Corporation for Public Broadcasting is a nonprofit corporation created by the U.S. government to fund and support public television and radio, including networks like PBS and NPR.
-
E.
WHDH-TV
WHDH-TV is a Boston-based television station historically known as a major local news outlet and an early employer of prominent journalists such as Tom Brokaw.
- 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_69b3451743608190808f41d17ccf2650 |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b3480cfacc81909a2705eb4e9ce8c1 |
completed | March 12, 2026, 11:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b59628da008190ae0e458ed3a5890b |
completed | March 14, 2026, 5:08 p.m. |
Created at: March 12, 2026, 11:03 p.m.