Triple
T8111864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chiang |
E189372
|
entity |
| Predicate | hasVariantSpelling |
P457
|
FINISHED |
| Object | Jang |
E676140
|
NE FINISHED |
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: Jang | Statement: [Chiang, hasVariantSpelling, Jang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jang Context triple: [Chiang, hasVariantSpelling, Jang]
-
A.
Jang
Jang is one of the small islands that make up Maloelap Atoll in the Republic of the Marshall Islands.
-
B.
Jang
chosen
Jang is a Korean surname shared by numerous individuals across Korea and the Korean diaspora.
-
C.
Jin
Jin is a Chinese surname historically associated with the Jewish community of Kaifeng, reflecting their integration into Chinese society while preserving distinct communal identities.
-
D.
Jin
Jin is the standard abbreviation used to refer to Shanxi Province in China.
-
E.
Jeong
Jeong is the Korean family name of Ken Jeong, the American comedian, actor, and physician known for roles in "The Hangover" series and the TV show "Community."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca82b9d5848190a24672775d5c5011 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb432bcb648190b5ddbcc2a3dbc9b1 |
completed | March 31, 2026, 3:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc942a9af881908b7ddc724755893e |
completed | April 1, 2026, 3:42 a.m. |
Created at: March 30, 2026, 5:32 p.m.