Triple
T15992684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tawny Cypress |
E387873
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Cypress |
E266620
|
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: Cypress | Statement: [Tawny Cypress, familyName, Cypress]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cypress Context triple: [Tawny Cypress, familyName, Cypress]
-
A.
Cypress
chosen
Cypress is a suburban city in northwestern Orange County, California, known for its residential communities and proximity to Los Angeles.
-
B.
Cipressa
Cipressa is a renowned coastal climb in Liguria, Italy, best known as one of the decisive late-race ascents in the Milan–San Remo professional cycling classic.
-
C.
Bramble
Bramble is a modern classic gin-based cocktail typically made with lemon juice, sugar syrup, and blackberry liqueur, served over crushed ice.
-
D.
Cypresses
"Cypresses" is a series of expressive landscape paintings by Vincent van Gogh, celebrated for its swirling brushwork and dramatic depiction of towering cypress trees against vivid skies.
-
E.
Tawny Cypress
Tawny Cypress is an American actress known for her roles in television series such as Yellowjackets, Heroes, and House of Cards.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15785347081908831b4cbc9a2dd45 |
completed | April 16, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3d3ef2881909213ff608192f1ef |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:54 a.m.