Triple
T19839738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fu |
E476693
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Fu Yuling
Fu Yuling is a notable individual who bears the Chinese surname Fu, recognized for contributing to the name’s cultural or historical prominence.
|
E1432698
|
NE FINISHED |
How this triple was built (4 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: Fu Yuling | Statement: [Fu, hasNotableBearer, Fu Yuling]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fu Yuling Context triple: [Fu, hasNotableBearer, Fu Yuling]
-
A.
Tan Yuling
Tan Yuling was a Manchu noblewoman best known as one of the later consorts of China's last emperor, Puyi, during his time as puppet ruler of Manchukuo.
-
B.
Lu Lingzi
Lu Lingzi was a Chinese graduate student at Boston University who was killed in the 2013 Boston Marathon bombing.
-
C.
Li Jinyu
Li Jinyu is a Chinese short track speed skater known for representing China in major international competitions, including the Winter Olympics.
-
D.
Teng Yu-yao
Teng Yu-yao is a person notable for bearing the Chinese surname Teng.
-
E.
Li Jiayu
Li Jiayu was a Chinese military officer and general associated with the National Revolutionary Army during the Republican era.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Fu Yuling Triple: [Fu, hasNotableBearer, Fu Yuling]
Generated description
Fu Yuling is a notable individual who bears the Chinese surname Fu, recognized for contributing to the name’s cultural or historical prominence.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fu Yuling Target entity description: Fu Yuling is a notable individual who bears the Chinese surname Fu, recognized for contributing to the name’s cultural or historical prominence.
-
A.
Tan Yuling
Tan Yuling was a Manchu noblewoman best known as one of the later consorts of China's last emperor, Puyi, during his time as puppet ruler of Manchukuo.
-
B.
Lu Lingzi
Lu Lingzi was a Chinese graduate student at Boston University who was killed in the 2013 Boston Marathon bombing.
-
C.
Li Jinyu
Li Jinyu is a Chinese short track speed skater known for representing China in major international competitions, including the Winter Olympics.
-
D.
Teng Yu-yao
Teng Yu-yao is a person notable for bearing the Chinese surname Teng.
-
E.
Li Jiayu
Li Jiayu was a Chinese military officer and general associated with the National Revolutionary Army during the Republican era.
- F. None of above. chosen
Provenance (5 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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65804be608190b49e110c3bf381bc |
completed | April 20, 2026, 4:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a088af8db308190afb69c173d8f24ee |
completed | May 16, 2026, 3:19 p.m. |
| NEDg | Description generation | batch_6a088c9b40788190b76ef5c582996d34 |
completed | May 16, 2026, 3:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a088d186a38819085c8809560e94745 |
completed | May 16, 2026, 3:28 p.m. |
Created at: April 10, 2026, 1:50 p.m.