Triple
T21449075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bee Vang |
E529158
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Vang
Vang is a Hmong family name shared by Bee Vang, an American actor known for his role in the film "Gran Torino."
|
E1485551
|
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: Vang | Statement: [Bee Vang, familyName, Vang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vang Context triple: [Bee Vang, familyName, Vang]
-
A.
Vang
Vang is a rural municipality in Innlandet county, Norway, known for its mountainous landscapes, traditional farming communities, and outdoor recreation opportunities.
-
B.
Vang valley
Vang valley is a scenic valley area in Vang municipality in Innlandet county, Norway, known for its lakes, mountains, and traditional rural landscapes.
-
C.
Le Vin
Le Vin is a section of Charles Baudelaire’s poetry collection Les Fleurs du mal that explores themes of intoxication, escape, and existential despair through the motif of wine.
-
D.
Winenne
Winenne is a small village in the municipality of Houyet in the Wallonia region of southern Belgium.
-
E.
Chã wine
Chã wine is a distinctive volcanic wine produced in the high-altitude crater village of Chã das Caldeiras on the Cape Verdean island of Fogo.
- 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: Vang Triple: [Bee Vang, familyName, Vang]
Generated description
Vang is a Hmong family name shared by Bee Vang, an American actor known for his role in the film "Gran Torino."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vang Target entity description: Vang is a Hmong family name shared by Bee Vang, an American actor known for his role in the film "Gran Torino."
-
A.
Vang
Vang is a rural municipality in Innlandet county, Norway, known for its mountainous landscapes, traditional farming communities, and outdoor recreation opportunities.
-
B.
Vang valley
Vang valley is a scenic valley area in Vang municipality in Innlandet county, Norway, known for its lakes, mountains, and traditional rural landscapes.
-
C.
Le Vin
Le Vin is a section of Charles Baudelaire’s poetry collection Les Fleurs du mal that explores themes of intoxication, escape, and existential despair through the motif of wine.
-
D.
Winenne
Winenne is a small village in the municipality of Houyet in the Wallonia region of southern Belgium.
-
E.
Chã wine
Chã wine is a distinctive volcanic wine produced in the high-altitude crater village of Chã das Caldeiras on the Cape Verdean island of Fogo.
- 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_69e0c457579481909db68053ed99750c |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9d11ca48190aafe25c97dfa5578 |
completed | April 23, 2026, 9:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09c907cb9c8190b4a50551b274a915 |
completed | May 17, 2026, 1:56 p.m. |
| NEDg | Description generation | batch_6a09ca21f52481909aa6033dbe4c5985 |
completed | May 17, 2026, 2:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09cb9587a88190b0e1c0d25d3733da |
completed | May 17, 2026, 2:07 p.m. |
Created at: April 16, 2026, 6:06 p.m.