Triple
T7536462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WGBH Boston |
E178162
|
entity |
| Predicate | ownsStation |
P19286
|
FINISHED |
| Object |
WGBX-TV
WGBX-TV is a Boston-based public television station that serves as a secondary outlet for WGBH, offering additional educational, cultural, and public affairs programming.
|
E672378
|
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: WGBX-TV | Statement: [WGBH Boston, ownsStation, WGBX-TV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WGBX-TV Context triple: [WGBH Boston, ownsStation, WGBX-TV]
-
A.
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.
-
B.
WCVB-TV
WCVB-TV is a Boston-based television station serving as the ABC network affiliate for the Greater Boston area.
-
C.
WBZ-TV
WBZ-TV is a Boston-based television station that serves as a major local broadcaster and CBS affiliate in the New England region.
-
D.
WFXT
WFXT is a Boston-based television station affiliated with the Fox network and serving the Greater Boston area.
-
E.
WGR-TV
WGR-TV is a Buffalo, New York television station that served as an early career platform for broadcaster and journalist Nick Clooney.
- 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: WGBX-TV Triple: [WGBH Boston, ownsStation, WGBX-TV]
Generated description
WGBX-TV is a Boston-based public television station that serves as a secondary outlet for WGBH, offering additional educational, cultural, and public affairs programming.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WGBX-TV Target entity description: WGBX-TV is a Boston-based public television station that serves as a secondary outlet for WGBH, offering additional educational, cultural, and public affairs programming.
-
A.
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.
-
B.
WCVB-TV
WCVB-TV is a Boston-based television station serving as the ABC network affiliate for the Greater Boston area.
-
C.
WBZ-TV
WBZ-TV is a Boston-based television station that serves as a major local broadcaster and CBS affiliate in the New England region.
-
D.
WFXT
WFXT is a Boston-based television station affiliated with the Fox network and serving the Greater Boston area.
-
E.
WGR-TV
WGR-TV is a Buffalo, New York television station that served as an early career platform for broadcaster and journalist Nick Clooney.
- 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_69c69f2acdbc8190b5a8320168c1d0ba |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f84db0c48190b2b3d8c5f802f713 |
completed | March 27, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84f108aec81909b0738b6273d5bd3 |
completed | March 28, 2026, 9:58 p.m. |
| NEDg | Description generation | batch_69c853ef32288190bcd3c53242bfba25 |
completed | March 28, 2026, 10:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c85458fa7481908809f46373445156 |
completed | March 28, 2026, 10:21 p.m. |
Created at: March 27, 2026, 3:48 p.m.