Triple
T19376697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | He Kexin |
E484686
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Kexin |
—
|
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: Kexin | Statement: [He Kexin, givenName, Kexin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kexin Context triple: [He Kexin, givenName, Kexin]
-
A.
He Kexin
chosen
He Kexin is a Chinese artistic gymnast best known for winning multiple Olympic gold medals on the uneven bars.
-
B.
Xuwen
Xuwen is a coastal county in Guangdong Province, China, known as a key mainland gateway and port facing Hainan Island across the Qiongzhou Strait.
-
C.
Keshi
Keshi is a horse-demon in Hindu mythology best known for being slain by the god Krishna (also called Kesava).
-
D.
Linzi
Linzi was the prominent ancient Chinese city that served as the political, economic, and cultural center of the powerful State of Qi during the Zhou dynasty.
-
E.
Deg Xinag
Deg Xinag is an endangered Northern Athabaskan language traditionally spoken by the Deg Hit’an people of interior Alaska.
- 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_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61a5cfbf48190ac60e3ffa6baa263 |
completed | April 20, 2026, 12:21 p.m. |
Created at: April 10, 2026, 1:35 p.m.