Triple
T22992526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ngo Thanh Van |
E572089
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Veronica Ngo |
—
|
NE NERFINISHED |
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: Veronica Ngo | Statement: [Ngo Thanh Van, alsoKnownAs, Veronica Ngo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Veronica Ngo Context triple: [Ngo Thanh Van, alsoKnownAs, Veronica Ngo]
-
A.
Veronica Ngo
chosen
Veronica Ngo is a Vietnamese actress and model best known internationally for her roles in action and science fiction films such as "The Old Guard" and "Star Wars: The Last Jedi."
-
B.
Veronica Ali
Veronica Ali, born Veronica Porsche, is an American former model and actress best known as the third wife of boxing legend Muhammad Ali.
-
C.
Stephanie Nguyen
Stephanie Nguyen is a dancer and actress known for her role in the international street dance film "StreetDance 2."
-
D.
Christina Chang
Christina Chang is a Taiwanese-American actress best known for her role as Dr. Audrey Lim on the medical drama series "The Good Doctor."
-
E.
Diane Nguyen
Diane Nguyen is a thoughtful, socially conscious Vietnamese-American writer and one of the main characters in the animated series "BoJack Horseman."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245b535808190adef8a9df3c584db |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182f017a88190b02d0649a3af5d99 |
completed | April 29, 2026, 4:02 a.m. |
Created at: April 17, 2026, 3:50 p.m.