Triple
T14632862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kang Youwei |
E343525
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Kang |
E921224
|
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: Kang | Statement: [Kang Youwei, familyName, Kang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kang Context triple: [Kang Youwei, familyName, Kang]
-
A.
Kang
Kang is a recurring alien character from the animated television series "The Simpsons," often appearing in satirical and Halloween-themed episodes alongside his companion Kodos.
-
B.
Kang
chosen
Kang is a common Korean surname borne by many individuals in Korea and the Korean diaspora.
-
C.
Kong Ji
Kong Ji was a Chinese philosopher of the late Spring and Autumn period, the grandson of Confucius, traditionally regarded as the author of the Confucian classic "Doctrine of the Mean."
-
D.
Kwan
Kwan is a Chinese-origin surname shared by many individuals, including the renowned American figure skater Michelle Kwan.
-
E.
Jin
Jin is a central character in the animated film "Abominable," accompanying a young girl and a yeti on an adventurous journey from Shanghai to the Himalayas.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4aa7cb48190b008bd6b0e162c89 |
completed | April 14, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda931834081909d90ec0479eca3f9 |
completed | May 8, 2026, 9:13 a.m. |
Created at: April 10, 2026, 1:26 a.m.