Triple
T9558168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vanil Noir |
E230595
|
entity |
| Predicate | nameMeaning |
P453
|
FINISHED |
| Object | Black Vanil |
E230595
|
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: Black Vanil | Statement: [Vanil Noir, nameMeaning, Black Vanil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Black Vanil Context triple: [Vanil Noir, nameMeaning, Black Vanil]
-
A.
Vanil Noir
chosen
Vanil Noir is a prominent mountain peak in the Swiss Prealps, known for its rugged limestone cliffs and panoramic views over the canton of Fribourg.
-
B.
Velvet Brown
Velvet Brown is the determined young English girl who dreams of racing her beloved horse to victory in the classic novel and film "National Velvet."
-
C.
Violet
Violet is a small, typically purple-flowered plant commonly found in temperate regions and widely recognized as a symbol of modesty and springtime.
-
D.
Violet
Violet is a character portrayed by Australian actress Robin McLeavy, likely known from her work in film or television.
-
E.
Violet
Violet is the given first name of the renowned American opera singer Leontyne Price.
- 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_69ca847e53a88190a60eed7e02257f10 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99487b4c819086e02e29e37b593f |
completed | April 1, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d15296303c8190adda4b24036d9390 |
completed | April 4, 2026, 6:04 p.m. |
Created at: March 30, 2026, 8:03 p.m.