Triple
T16681189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ai (Chinese surname) |
E405341
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Ai Kesen
Ai Kesen is the Chinese name of Brazilian-born footballer Elkeson, a naturalized player who has represented the China national team as a forward.
|
E1227628
|
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: Ai Kesen | Statement: [Ai (Chinese surname), hasNotableBearer, Ai Kesen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ai Kesen Context triple: [Ai (Chinese surname), hasNotableBearer, Ai Kesen]
-
A.
Sekitō Kisen
Sekitō Kisen was an influential 8th-century Chinese Chán (Zen) Buddhist master, regarded as a key figure in the early development of the Caodong/Sōtō Zen tradition.
-
B.
Kensiu
Kensiu is an endangered Aslian language spoken by an indigenous Semang (Negrito) community in northern Peninsular Malaysia and southern Thailand.
-
C.
Katsuya
Katsuya is a Japanese given name commonly used for males.
-
D.
Yasakaji
Yasakaji is a Buddhist temple in Japan known as Temple 47 on the Shikoku Pilgrimage.
-
E.
Kinnosuke
Kinnosuke is the given name of the renowned Japanese novelist Natsume Sōseki, a central figure in modern Japanese literature.
- 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: Ai Kesen Triple: [Ai (Chinese surname), hasNotableBearer, Ai Kesen]
Generated description
Ai Kesen is the Chinese name of Brazilian-born footballer Elkeson, a naturalized player who has represented the China national team as a forward.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ai Kesen Target entity description: Ai Kesen is the Chinese name of Brazilian-born footballer Elkeson, a naturalized player who has represented the China national team as a forward.
-
A.
Sekitō Kisen
Sekitō Kisen was an influential 8th-century Chinese Chán (Zen) Buddhist master, regarded as a key figure in the early development of the Caodong/Sōtō Zen tradition.
-
B.
Kensiu
Kensiu is an endangered Aslian language spoken by an indigenous Semang (Negrito) community in northern Peninsular Malaysia and southern Thailand.
-
C.
Katsuya
Katsuya is a Japanese given name commonly used for males.
-
D.
Yasakaji
Yasakaji is a Buddhist temple in Japan known as Temple 47 on the Shikoku Pilgrimage.
-
E.
Kinnosuke
Kinnosuke is the given name of the renowned Japanese novelist Natsume Sōseki, a central figure in modern Japanese literature.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37d6f5cf481909e7628bbaa884e5a |
completed | April 18, 2026, 12:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a404f448190a9dc7831382ffcdc |
completed | May 10, 2026, 1:38 p.m. |
| NEDg | Description generation | batch_6a008aed0bfc8190886b6a2e08a885b9 |
completed | May 10, 2026, 1:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a008bc0e57c8190838ec383f2a1b52c |
completed | May 10, 2026, 1:44 p.m. |
Created at: April 10, 2026, 5:19 a.m.