Triple
T19009908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huang Jianxin |
E465193
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Huang |
—
|
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: Huang | Statement: [Huang Jianxin, familyName, Huang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huang Context triple: [Huang Jianxin, familyName, Huang]
-
A.
Huang
chosen
Huang is a common Chinese surname borne by many notable individuals across business, politics, science, and the arts.
-
B.
Huang tudi
Huang tudi is the Chinese title for "Yellow Earth," a landmark 1984 Chinese film directed by Chen Kaige that is celebrated for its poetic cinematography and influence on the Fifth Generation of Chinese cinema.
-
C.
Tuoba Huang
Tuoba Huang was a prominent Northern Wei prince and crown prince known for his political influence and role in strengthening the dynasty’s administration before his untimely death.
-
D.
Hua
Hua is a Chinese given name commonly used for both males and females, often associated with meanings like "flower" or "China."
-
E.
Huangwei Yu
Huangwei Yu is the Chinese name of the character Kubashima.
- 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_69d8dd025c188190a1d81f5b4ec7e2c6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6a8225c81908e80ae7eb1c1301b |
completed | April 20, 2026, 7:32 a.m. |
Created at: April 10, 2026, 12:02 p.m.