Triple
T11312971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Susan Lacy |
E267887
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | WNET |
E290882
|
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: WNET | Statement: [Susan Lacy, employer, WNET]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WNET Context triple: [Susan Lacy, employer, WNET]
-
A.
WNET
chosen
WNET is a major New York City public television station and one of the primary flagship producers of national programming for PBS.
-
B.
WCBS-TV
WCBS-TV is the primary New York City television station of the CBS network, serving as its main owned-and-operated outlet.
-
C.
WABC-TV
WABC-TV is a New York City-based ABC-owned television station that produces and broadcasts local and nationally syndicated programming.
-
D.
WCVB-TV
WCVB-TV is a Boston-based television station serving as the ABC network affiliate for the Greater Boston area.
-
E.
WNYE-TV
WNYE-TV is a non-commercial educational television station serving the New York City area, operated by NYC Media and known for its locally focused and multicultural programming.
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9c1b7dc81908d8cc768c47390d3 |
completed | April 9, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e50a910a2c8190b8afd4c988e64141 |
completed | April 19, 2026, 5:02 p.m. |
Created at: April 8, 2026, 9:32 p.m.