Triple
T12409596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cai E |
E296480
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Cai |
E463696
|
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: Cai | Statement: [Cai E, familyName, Cai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cai Context triple: [Cai E, familyName, Cai]
-
A.
Cai
Cai is a figure from early Welsh Arthurian tradition who served as the prototype for the later literary character Sir Kay.
-
B.
Cai
chosen
Cai is a common Chinese surname shared by numerous individuals, including the contemporary artist Cai Guo-Qiang.
-
C.
Cui
Cui was the personal given name of Emperor Yizong, a ninth-century ruler of China’s Tang dynasty.
-
D.
Cai Lay
Cai Lậy is a district-level town in Vietnam’s Mekong Delta region known for its agricultural economy and network of canals and waterways.
-
E.
Shen
Shen is a Chinese surname historically borne by notable figures such as the Song dynasty polymath Shen Kuo.
- 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d4b86c88190afba0de15b34eee9 |
completed | April 10, 2026, 7:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6348af5a8819083a075d145b15fd4 |
completed | May 2, 2026, 5:29 p.m. |
Created at: April 8, 2026, 9:55 p.m.