Triple
T18732870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NYU Violets |
E458080
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Violets |
—
|
NE NERFINISHED |
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: Violets | Statement: [NYU Violets, nickname, Violets]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Violets Context triple: [NYU Violets, nickname, Violets]
-
A.
Violets
chosen
Violets are the athletic teams representing New York University in intercollegiate sports.
-
B.
Purple Violets
Purple Violets is a 2007 romantic comedy-drama film written and directed by Edward Burns that follows former college sweethearts who reconnect years later in New York City.
-
C.
March Violets
March Violets is a historical crime novel by Philip Kerr that introduces Berlin detective Bernie Gunther as he investigates corruption and murder in Nazi Germany.
-
D.
The Yellow Violet
"The Yellow Violet" is a lyric poem by American Romantic poet William Cullen Bryant that reflects on humility, transience, and the quiet beauty of nature.
-
E.
Violets Are Blue
Violets Are Blue is a crime thriller novel in James Patterson’s Alex Cross series, following the detective’s pursuit of a gruesome, vampire-themed serial killer.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d393ba9c8190a8b03b04ddbb0a09 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56d791ab88190b333503f9b1ad0c0 |
completed | April 20, 2026, 12:04 a.m. |
Created at: April 10, 2026, 11:51 a.m.