Triple
T7747212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Station 19 |
E175660
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Ben Warren |
E686868
|
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: Ben Warren | Statement: [Station 19, mainCharacter, Ben Warren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ben Warren Context triple: [Station 19, mainCharacter, Ben Warren]
-
A.
Ben Warren
chosen
Ben Warren is a fictional surgical resident and former anesthesiologist on the television series "Grey's Anatomy" and its spin-off "Station 19."
-
B.
Warren Archibald
Warren Archibald is a Trinidadian former professional footballer best known as a prolific forward in the North American Soccer League during the late 1960s and 1970s.
-
C.
Jim Warren
Jim Warren is an American computer scientist and technology activist best known for founding the West Coast Computer Faire, one of the earliest and most influential personal computer expositions.
-
D.
Warren Wells
Warren Wells was an American professional football wide receiver best known for his standout seasons with the Oakland Raiders in the late 1960s.
-
E.
Dan Woolsey
Dan Woolsey is an entrepreneur and media professional best known as a founder of the African American–focused news and entertainment platform TheGrio.
- 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_69c69960b3588190a53aa590d31d9544 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7038caa64819084f61b42a73c2d8b |
completed | March 27, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8deac5160819098e842fb720d77b1 |
completed | March 29, 2026, 8:11 a.m. |
Created at: March 27, 2026, 4:08 p.m.