Triple
T3719310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ai |
E81601
|
entity |
| Predicate | sharesCategoryWith |
P5696
|
FINISHED |
| Object | Shi (Chinese surname) |
E85662
|
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: Shi (Chinese surname) | Statement: [Ai, sharesCategoryWith, Shi (Chinese surname)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shi (Chinese surname) Context triple: [Ai, sharesCategoryWith, Shi (Chinese surname)]
-
A.
Shi
chosen
Shi is a Chinese surname historically associated with members of the Jewish community in Kaifeng, China.
-
B.
Zhou
Zhou is a common Chinese surname borne by many notable figures in Chinese history and politics.
-
C.
Xiong clan
The Xiong clan was the hereditary noble family that provided the kings of the ancient Chinese state of Chu during the Zhou dynasty.
-
D.
Wu
Wu is a common Chinese surname borne by many notable individuals across politics, academia, entertainment, and sports.
-
E.
Shuheng
Shuheng is the given name of He Shuheng, an early Chinese Communist revolutionary and political figure.
- 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_69ad8b1b7ef081908d2d381bbf54985a |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adca99e4248190a6a91808010b8b05 |
completed | March 8, 2026, 7:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4ce1560bc81908fe936c426795f06 |
completed | March 14, 2026, 2:55 a.m. |
Created at: March 8, 2026, 3:34 p.m.