Triple
T20490834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dragons |
E502736
|
entity |
| Predicate | notableExample |
P1503
|
FINISHED |
| Object |
Shenlong
Shenlong is a revered dragon deity from Chinese mythology associated with rain, storms, and the power to control the weather.
|
E1434919
|
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: Shenlong | Statement: [Dragons, notableExample, Shenlong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shenlong Context triple: [Dragons, notableExample, Shenlong]
-
A.
Shaowu
Shaowu is a county-level city in northwestern Fujian Province, China, known for its mountainous landscape and location along the upper reaches of the Min River.
-
B.
Shen
Shen is a Chinese surname historically borne by notable figures such as the Song dynasty polymath Shen Kuo.
-
C.
Jianwu
Jianwu was the era name marking the early reign of Emperor Guangwu, founder of the Eastern Han dynasty in ancient China.
-
D.
Tai-tsu
Tai-tsu is an alternative romanization of "Taizu," a title historically used for founding emperors in various Chinese dynasties.
-
E.
Lin Kong
Lin Kong is an actor best known for his role in the acclaimed Chinese film "Raise the Red Lantern."
- 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: Shenlong Triple: [Dragons, notableExample, Shenlong]
Generated description
Shenlong is a revered dragon deity from Chinese mythology associated with rain, storms, and the power to control the weather.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shenlong Target entity description: Shenlong is a revered dragon deity from Chinese mythology associated with rain, storms, and the power to control the weather.
-
A.
Shaowu
Shaowu is a county-level city in northwestern Fujian Province, China, known for its mountainous landscape and location along the upper reaches of the Min River.
-
B.
Shen
Shen is a Chinese surname historically borne by notable figures such as the Song dynasty polymath Shen Kuo.
-
C.
Jianwu
Jianwu was the era name marking the early reign of Emperor Guangwu, founder of the Eastern Han dynasty in ancient China.
-
D.
Tai-tsu
Tai-tsu is an alternative romanization of "Taizu," a title historically used for founding emperors in various Chinese dynasties.
-
E.
Lin Kong
Lin Kong is an actor best known for his role in the acclaimed Chinese film "Raise the Red Lantern."
- 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_69e0b4b0373881909dd3e9387f82eab4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69cb8e7848190a1dc497a10ae798c |
completed | April 20, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0893b65a008190bd027b782289e826 |
completed | May 16, 2026, 3:56 p.m. |
| NEDg | Description generation | batch_6a08951fa0e0819085fbc2ab94a9ff74 |
completed | May 16, 2026, 4:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0895f025c881908e8e3220519da8fb |
completed | May 16, 2026, 4:06 p.m. |
Created at: April 16, 2026, 11:35 a.m.