Triple
T9085559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Davina |
E217743
|
entity |
| Predicate | hasDiminutiveForm |
P456
|
FINISHED |
| Object | Vina |
E26899
|
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: Vina | Statement: [Davina, hasDiminutiveForm, Vina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vina Context triple: [Davina, hasDiminutiveForm, Vina]
-
A.
Vina
chosen
Vina is an alternate given name of Fay Wray, the Canadian-American actress best known for her iconic role in the 1933 film "King Kong."
-
B.
Long Tieng
Long Tieng was a secretive military base and airstrip in Laos that served as the main stronghold for CIA-backed Hmong forces during the Laotian Civil War.
-
C.
Cabiao
Cabiao is a municipality in the province of Nueva Ecija in the Philippines, known for its agricultural economy and rural communities.
-
D.
Dongling
Dongling, also known as the Fuling Tomb, is the mausoleum of the Qing dynasty's founding emperor Nurhaci and his empress, located near Shenyang in northeastern China.
-
E.
Teangue
Teangue is a small crofting settlement on the Sleat peninsula of the Isle of Skye in the Scottish Highlands.
- 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_69ca83d7a0388190ba1af89ed7ba36f9 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc960d0b008190b0e9e61fac45101d |
completed | April 1, 2026, 3:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cffe40823481909a5c4b82bd24293a |
completed | April 3, 2026, 5:52 p.m. |
Created at: March 30, 2026, 7:13 p.m.