Triple
T8190480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pam Oliver |
E191289
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | WTVT |
E331306
|
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: WTVT | Statement: [Pam Oliver, employer, WTVT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WTVT Context triple: [Pam Oliver, employer, WTVT]
-
A.
WTVT
chosen
WTVT is a Fox-affiliated television station serving the Tampa Bay, Florida market.
-
B.
WTVG
WTVG is a television station in Toledo, Ohio, best known as the local ABC affiliate providing news, weather, and entertainment programming to the region.
-
C.
WXTV-DT
WXTV-DT is a New York City-based television station that serves as the primary Univision network outlet for the New York metropolitan area.
-
D.
WTVD
WTVD is a local ABC-affiliated television station serving the Raleigh–Durham (Research Triangle) region of North Carolina.
-
E.
WLTV-DT
WLTV-DT is a major Spanish-language television station in Miami, Florida, serving as the primary Univision outlet for the South Florida market.
- 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_69ca82c5b6948190a583c096fb0a6c71 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4da2f4108190b9b69cb7f41ef374 |
completed | March 31, 2026, 4:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cced979d408190851088c6d3f4df24 |
completed | April 1, 2026, 10:04 a.m. |
Created at: March 30, 2026, 5:41 p.m.