Triple
T13558219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Money Island |
E323834
|
entity |
| Predicate | hasAlternateName |
P39
|
FINISHED |
| Object |
Yin Yu
Yin Yu, also known as Money Island, is a small island whose name reflects its historical or economic association with wealth or trade.
|
E1047667
|
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: Yin Yu | Statement: [Money Island, hasAlternateName, Yin Yu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yin Yu Context triple: [Money Island, hasAlternateName, Yin Yu]
-
A.
K. Yin
K. Yin is a technical contributor known for coauthoring IETF RFC 6145 on IP/ICMP translation between IPv4 and IPv6 networks.
-
B.
Ying Bu
Ying Bu was a prominent military leader and former general of the Qin dynasty who played a key role in the Chu–Han Contention before eventually rebelling against the Han.
-
C.
Younan Xia
Younan Xia is a prominent chemist and materials scientist known for his pioneering work in nanomaterials synthesis and nanotechnology.
-
D.
Yao Ling
Yao Ling is known as the former spouse of Ren Zhengfei, the founder of Chinese telecommunications giant Huawei.
-
E.
Ruocheng Ying
Ruocheng Ying was a Chinese actor and cultural figure best known internationally for his role in Bernardo Bertolucci’s film "The Last Emperor."
- 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: Yin Yu Triple: [Money Island, hasAlternateName, Yin Yu]
Generated description
Yin Yu, also known as Money Island, is a small island whose name reflects its historical or economic association with wealth or trade.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yin Yu Target entity description: Yin Yu, also known as Money Island, is a small island whose name reflects its historical or economic association with wealth or trade.
-
A.
K. Yin
K. Yin is a technical contributor known for coauthoring IETF RFC 6145 on IP/ICMP translation between IPv4 and IPv6 networks.
-
B.
Ying Bu
Ying Bu was a prominent military leader and former general of the Qin dynasty who played a key role in the Chu–Han Contention before eventually rebelling against the Han.
-
C.
Younan Xia
Younan Xia is a prominent chemist and materials scientist known for his pioneering work in nanomaterials synthesis and nanotechnology.
-
D.
Yao Ling
Yao Ling is known as the former spouse of Ren Zhengfei, the founder of Chinese telecommunications giant Huawei.
-
E.
Ruocheng Ying
Ruocheng Ying was a Chinese actor and cultural figure best known internationally for his role in Bernardo Bertolucci’s film "The Last Emperor."
- 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_69d8076830b48190910a902bae5888e2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaff4223c8190801d153ae8f94c73 |
completed | April 12, 2026, 2:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75dab4974819097880ad4d50f1b34 |
completed | May 3, 2026, 2:37 p.m. |
| NEDg | Description generation | batch_69f761bd24ac8190b1fd8fdabc8ce252 |
completed | May 3, 2026, 2:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f76226ac888190b0c6f0eabd337066 |
completed | May 3, 2026, 2:56 p.m. |
Created at: April 9, 2026, 9:47 p.m.