Triple
T15955640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hongguang Emperor (Southern Ming) |
E386926
|
entity |
| Predicate | templeName |
P44027
|
FINISHED |
| Object |
Anzong
Anzong is the temple name of the Hongguang Emperor, a short-lived Southern Ming ruler who attempted to continue the Ming dynasty’s resistance against the Qing conquest in the mid-17th century.
|
E1185871
|
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: Anzong | Statement: [Hongguang Emperor (Southern Ming), templeName, Anzong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anzong Context triple: [Hongguang Emperor (Southern Ming), templeName, Anzong]
-
A.
Anzing
Anzing is a small municipality in the district of Ebersberg in Upper Bavaria, Germany.
-
B.
Yokoze
Yokoze is a small town in Saitama Prefecture, Japan, known for its rural scenery and proximity to the Chichibu mountain area.
-
C.
Kōgō
Kōgō is the Japanese term used to refer to the empress consort of Japan.
-
D.
Jomgao
Jomgao is a barangay (village-level administrative division) within the municipality of Argao in the province of Cebu, Philippines.
-
E.
Kasugo
Kasugo is a specific class or rank within the Philippine Order of Sikatuna, a national honor conferred for distinguished diplomatic service.
- 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: Anzong Triple: [Hongguang Emperor (Southern Ming), templeName, Anzong]
Generated description
Anzong is the temple name of the Hongguang Emperor, a short-lived Southern Ming ruler who attempted to continue the Ming dynasty’s resistance against the Qing conquest in the mid-17th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anzong Target entity description: Anzong is the temple name of the Hongguang Emperor, a short-lived Southern Ming ruler who attempted to continue the Ming dynasty’s resistance against the Qing conquest in the mid-17th century.
-
A.
Anzing
Anzing is a small municipality in the district of Ebersberg in Upper Bavaria, Germany.
-
B.
Yokoze
Yokoze is a small town in Saitama Prefecture, Japan, known for its rural scenery and proximity to the Chichibu mountain area.
-
C.
Kōgō
Kōgō is the Japanese term used to refer to the empress consort of Japan.
-
D.
Jomgao
Jomgao is a barangay (village-level administrative division) within the municipality of Argao in the province of Cebu, Philippines.
-
E.
Kasugo
Kasugo is a specific class or rank within the Philippine Order of Sikatuna, a national honor conferred for distinguished diplomatic service.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156fb29848190a55cabb49cb19575 |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe7c8ef081908fa6da7975c271f6 |
completed | May 9, 2026, 11:08 p.m. |
| NEDg | Description generation | batch_69ffbf3e80b08190899262a9d03c0e93 |
completed | May 9, 2026, 11:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffbfc0d1548190b7d2e9e10e837f0b |
completed | May 9, 2026, 11:14 p.m. |
Created at: April 10, 2026, 4:53 a.m.