Triple
T21171657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wang Ji |
E521704
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Ji |
—
|
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: Ji | Statement: [Wang Ji, givenName, Ji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ji Context triple: [Wang Ji, givenName, Ji]
-
A.
Ji
Ji was an ancient Chinese city that served as the political and cultural center of the State of Yan during the Zhou dynasty period.
-
B.
Ji
Ji is the ancestral clan name of the royal house of the Zhou dynasty in ancient China.
-
C.
Ji
chosen
Ji is a given name commonly used in Korean personal names, often as one syllable within a two-syllable given name.
-
D.
Jie
The Jie are a pastoralist ethnic group of East Africa, primarily inhabiting parts of South Sudan and neighboring regions, known for cattle herding and clan-based social organization.
-
E.
Jie
Jie is the given name of Ke Jie, a prominent Chinese professional Go player and former world champion.
- 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_69e0b50e30748190b186824a206d39b9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7271351f08190b609a6c280c9a02a |
completed | April 21, 2026, 7:28 a.m. |
Created at: April 16, 2026, 3 p.m.