Triple
T12841192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donna Hanover |
E307054
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | WPIX |
E237378
|
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: WPIX | Statement: [Donna Hanover, employer, WPIX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WPIX Context triple: [Donna Hanover, employer, WPIX]
-
A.
WPIX
chosen
WPIX is a New York City television station (channel 11) that serves as the market’s primary affiliate of The CW network.
-
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.
WLIW
WLIW is a Long Island-based public television station in the New York metropolitan area, known for educational, cultural, and local programming.
-
E.
WWOR-TV
WWOR-TV is a New York–area television station, historically known as a major independent and later network-affiliated outlet serving the New York City metropolitan 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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96ff2ab60819085561a3120189985 |
completed | April 10, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68edeaa1881909e06600ef88727de |
completed | May 2, 2026, 11:55 p.m. |
Created at: April 9, 2026, 5:35 p.m.