Triple
T1252145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vina Fay Wray |
E26899
|
entity |
| Predicate | givenName |
P17
|
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: [Vina Fay Wray, givenName, Vina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vina Context triple: [Vina Fay Wray, givenName, 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.
Shiyan
Shiyan is an industrial city in northwestern Hubei, China, best known as a center of automobile manufacturing and as a gateway to the nearby Wudang Mountains.
-
C.
Can Tho
Can Tho is a major city in southern Vietnam and the economic and cultural hub of the Mekong Delta region, known for its bustling floating markets and extensive canal network.
-
D.
Maiana
Maiana is a low-lying coral atoll in the central Pacific nation of Kiribati, known for its traditional village life and vulnerability to sea-level rise.
-
E.
Mae Sot
Mae Sot is a Thai border town in Tak Province known as a major hub for cross-border trade and migration with Myanmar and for its numerous refugee and humanitarian aid organizations.
- 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_69a49487a9c48190ba9b05348fd1b53f |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf875cf48190b6781d41097ee39b |
completed | March 1, 2026, 10:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac93c903488190bcbf1928699bafd2 |
completed | March 7, 2026, 9:08 p.m. |
Created at: March 1, 2026, 7:47 p.m.