Triple
T22466448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phương Liên |
E555366
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Bảo Vàng |
—
|
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: Bảo Vàng | Statement: [Phương Liên, sibling, Bảo Vàng]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bảo Vàng Context triple: [Phương Liên, sibling, Bảo Vàng]
-
A.
Bảo Vàng
chosen
Bảo Vàng is a Vietnamese individual known primarily as a sibling of Bảo Long, likely a member of the same notable family.
-
B.
Karat
Karat is a technical interviewing and hiring platform that helps companies efficiently assess and recruit software engineering talent.
-
C.
Golde
Golde is a central character in the musical and film "Fiddler on the Roof," known as Tevye’s practical and strong-willed wife in the fictional village of Anatevka.
-
D.
Golden Pan
The Golden Pan is a prestigious literary award recognizing authors whose books have achieved significant commercial success, often marked by high sales milestones.
-
E.
Ratne
Ratne is a small town in northwestern Ukraine known for its historical roots in the Volyn region near the Belarusian border.
- 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_69e11e51fdec8190adfdf9f8a6362221 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b837ec081909c4e44d37e8b2acd |
completed | April 29, 2026, 1:14 a.m. |
Created at: April 16, 2026, 8:48 p.m.