Triple
T8476176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeff Fager |
E200398
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object |
WJAR-TV
WJAR-TV is a television station serving the Providence, Rhode Island–New Bedford, Massachusetts market, known primarily as the local NBC affiliate.
|
E735524
|
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: WJAR-TV | Statement: [Jeff Fager, employer, WJAR-TV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WJAR-TV Context triple: [Jeff Fager, employer, WJAR-TV]
-
A.
WABI-TV
WABI-TV is a long-running CBS-affiliated television station serving the Bangor, Maine market with local news, weather, and entertainment programming.
-
B.
WIVB-TV
WIVB-TV is a television station serving the Buffalo, New York market, known for its local news and CBS-affiliated programming.
-
C.
WJRT-TV
WJRT-TV is a local television station serving the Flint–Saginaw–Bay City, Michigan market, historically known as an ABC network affiliate.
-
D.
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.
-
E.
WJZ-TV
WJZ-TV is a Baltimore-based television station that serves as a major local news and CBS network affiliate.
- 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: WJAR-TV Triple: [Jeff Fager, employer, WJAR-TV]
Generated description
WJAR-TV is a television station serving the Providence, Rhode Island–New Bedford, Massachusetts market, known primarily as the local NBC affiliate.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WJAR-TV Target entity description: WJAR-TV is a television station serving the Providence, Rhode Island–New Bedford, Massachusetts market, known primarily as the local NBC affiliate.
-
A.
WABI-TV
WABI-TV is a long-running CBS-affiliated television station serving the Bangor, Maine market with local news, weather, and entertainment programming.
-
B.
WIVB-TV
WIVB-TV is a television station serving the Buffalo, New York market, known for its local news and CBS-affiliated programming.
-
C.
WJRT-TV
WJRT-TV is a local television station serving the Flint–Saginaw–Bay City, Michigan market, historically known as an ABC network affiliate.
-
D.
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.
-
E.
WJZ-TV
WJZ-TV is a Baltimore-based television station that serves as a major local news and CBS network affiliate.
- 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_69ca831b17988190a1f3f3413d57b820 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe51e21548190811e3c7ba7b196e5 |
completed | March 31, 2026, 3:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce3a0f5e088190b70b2c7437884b3b |
completed | April 2, 2026, 9:42 a.m. |
| NEDg | Description generation | batch_69ce3b1f6f7c8190927b5e2684ae207b |
completed | April 2, 2026, 9:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce3b9d38e081909be10cb209b15427 |
completed | April 2, 2026, 9:49 a.m. |
Created at: March 30, 2026, 6:12 p.m.