Triple
T201146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fay Wray |
E4506
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Vina
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."
|
E26899
|
NE FINISHED |
How this triple was built (4 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: [Fay Wray, givenName, Vina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vina Context triple: [Fay Wray, givenName, Vina]
-
A.
Madura
Madura is an island off the northeastern coast of Java in Indonesia, known for its distinct Madurese culture and traditional bull races.
-
B.
Maipo Valley
Maipo Valley is one of Chile’s most renowned wine-producing regions, especially famous for its high-quality Cabernet Sauvignon and other red wines.
-
C.
Tonkin
Tonkin was a historical region in northern Vietnam, centered around Hanoi, that became a French protectorate and key part of colonial French Indochina.
-
D.
Arausio
Arausio is the ancient Latin name for the town now known as Orange in southeastern France, historically notable for its Roman monuments and heritage.
-
E.
Mekong River
The Mekong River is one of Asia’s longest and most important rivers, flowing from the Tibetan Plateau through several Southeast Asian countries before emptying into the South China Sea.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Vina Triple: [Fay Wray, givenName, Vina]
Generated description
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."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vina Target entity description: 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."
-
A.
Madura
Madura is an island off the northeastern coast of Java in Indonesia, known for its distinct Madurese culture and traditional bull races.
-
B.
Maipo Valley
Maipo Valley is one of Chile’s most renowned wine-producing regions, especially famous for its high-quality Cabernet Sauvignon and other red wines.
-
C.
Tonkin
Tonkin was a historical region in northern Vietnam, centered around Hanoi, that became a French protectorate and key part of colonial French Indochina.
-
D.
Arausio
Arausio is the ancient Latin name for the town now known as Orange in southeastern France, historically notable for its Roman monuments and heritage.
-
E.
Mekong River
The Mekong River is one of Asia’s longest and most important rivers, flowing from the Tibetan Plateau through several Southeast Asian countries before emptying into the South China Sea.
- F. None of above. chosen
Provenance (5 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_69a25737567c81908f9c505300239181 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25be47ea881909c296b30a0d47a65 |
completed | Feb. 28, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a332c7afc48190a65c7e71260c84b4 |
completed | Feb. 28, 2026, 6:24 p.m. |
| NEDg | Description generation | batch_69a333db134881909dc3449ddb328de6 |
completed | Feb. 28, 2026, 6:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3341c18c48190970fa40501d9b6fc |
completed | Feb. 28, 2026, 6:29 p.m. |
Created at: Feb. 28, 2026, 2:51 a.m.