Triple
T18095734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gao Yin |
E433079
|
entity |
| Predicate | successor |
P78
|
FINISHED |
| Object | Gao Yan |
—
|
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: Gao Yan | Statement: [Gao Yin, successor, Gao Yan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gao Yan Context triple: [Gao Yin, successor, Gao Yan]
-
A.
Gao Yan
chosen
Gao Yan was a member of the ruling Gao clan that founded and led the Northern Qi dynasty in ancient China.
-
B.
Gao Hong
Gao Hong is a former Chinese women's football goalkeeper renowned for her standout performances for China’s national team, including at the FIFA Women's World Cup.
-
C.
Gao Yaojie
Gao Yaojie is a Chinese gynecologist and prominent AIDS activist known for exposing HIV transmission through contaminated blood transfusions in rural China and advocating for patients’ rights despite government pressure.
-
D.
Gao Ying
Gao Ying is known primarily as the spouse of renowned Chinese poet Ai Qing.
-
E.
Gao Ying
Gao Ying is a participant featured in the documentary film "Ai Weiwei: Never Sorry," which chronicles the life and activism of Chinese artist Ai Weiwei.
- 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_69d8b907d05c819083cc3bd6021089e6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dd1c56848190be0b8c80b30dba6c |
completed | April 19, 2026, 1:48 p.m. |
Created at: April 10, 2026, 10:27 a.m.