Triple
T8028139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brian Ching |
E186907
|
entity |
| Predicate | hasSurname |
P18
|
FINISHED |
| Object | Ching |
E186907
|
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: Ching | Statement: [Brian Ching, hasSurname, Ching]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ching Context triple: [Brian Ching, hasSurname, Ching]
-
A.
Ching
chosen
Ching is the surname of Brian Ching, a retired American soccer player best known as a forward for the Houston Dynamo and the U.S. national team.
-
B.
Chen
Chen is a common Chinese surname borne by many notable individuals across politics, arts, science, and technology.
-
C.
Ching-ling
Ching-ling is the given name of Soong Ching-ling, a prominent Chinese political figure and the widow of Sun Yat-sen.
-
D.
Kwang-chou
Kwang-chou is an alternative romanization of Guangzhou, the major port city and economic hub in southern China historically known in the West as Canton.
-
E.
Jing
Jing is a common Chinese surname shared by various notable figures across fields such as entertainment, sports, and academia.
- 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_69ca82ad4e2c8190a693e3c9e30fe66f |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3eccacb0819082f7c3d6fd48e3c4 |
completed | March 31, 2026, 3:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63c911c081909751b614966d986c |
completed | April 1, 2026, 12:16 a.m. |
Created at: March 30, 2026, 5:21 p.m.