Triple
T12088682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shu |
E287878
|
entity |
| Predicate | hasVariantTransliteration |
P5923
|
FINISHED |
| Object |
Shuh
Shuh is an alternative transliteration of Shu, the ancient Egyptian god of air and supporter of the sky.
|
E962499
|
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: Shuh | Statement: [Shu, hasVariantTransliteration, Shuh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shuh Context triple: [Shu, hasVariantTransliteration, Shuh]
-
A.
Shou
Shou is the personal name of King Zhou of Shang, the last ruler of China’s Shang dynasty, often depicted in tradition as a tyrannical and decadent monarch.
-
B.
Shue
Shue is the surname of American actress Elisabeth Shue, known for her roles in films such as "The Karate Kid," "Back to the Future Part II," and "Leaving Las Vegas."
-
C.
Junshi
Junshi was the courtesy name of Sima Guang, a prominent Song dynasty historian and statesman best known for compiling the comprehensive chronicle "Zizhi Tongjian."
-
D.
Shiri
Shiri is a feminine given name most notably borne by American actress Shiri Appleby.
-
E.
Haramosh Shina
Haramosh Shina is a regional dialect of the Shina language spoken in the Haramosh area of northern Pakistan.
- 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: Shuh Triple: [Shu, hasVariantTransliteration, Shuh]
Generated description
Shuh is an alternative transliteration of Shu, the ancient Egyptian god of air and supporter of the sky.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shuh Target entity description: Shuh is an alternative transliteration of Shu, the ancient Egyptian god of air and supporter of the sky.
-
A.
Shou
Shou is the personal name of King Zhou of Shang, the last ruler of China’s Shang dynasty, often depicted in tradition as a tyrannical and decadent monarch.
-
B.
Shue
Shue is the surname of American actress Elisabeth Shue, known for her roles in films such as "The Karate Kid," "Back to the Future Part II," and "Leaving Las Vegas."
-
C.
Junshi
Junshi was the courtesy name of Sima Guang, a prominent Song dynasty historian and statesman best known for compiling the comprehensive chronicle "Zizhi Tongjian."
-
D.
Shiri
Shiri is a feminine given name most notably borne by American actress Shiri Appleby.
-
E.
Haramosh Shina
Haramosh Shina is a regional dialect of the Shina language spoken in the Haramosh area of northern Pakistan.
- 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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915161f848190a6355c1e372eadaa |
completed | April 10, 2026, 3:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f66b2eb48190bae469d1dd82b119 |
completed | May 2, 2026, 1:04 p.m. |
| NEDg | Description generation | batch_69f5fd79da748190b3f0dd7d7a46314d |
completed | May 2, 2026, 1:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f5feeeeb2081908191b1c2d1c2fbfd |
completed | May 2, 2026, 1:41 p.m. |
Created at: April 8, 2026, 9:48 p.m.