Triple
T1273912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mao Anying |
E15769
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Anying
Anying is the given name of Mao Anying, the eldest son of Chinese leader Mao Zedong who was killed in action during the Korean War.
|
E144384
|
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: Anying | Statement: [Mao Anying, givenName, Anying]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anying Context triple: [Mao Anying, givenName, Anying]
-
A.
Anif
Anif is a small Austrian municipality near Salzburg, known for its historic castle and as a residence of notable figures.
-
B.
Anu
Anu is the ancient Mesopotamian sky god and supreme ruler of the pantheon, associated with authority, kingship, and the heavens.
-
C.
Anuta
Anuta is a small, remote Polynesian outlier island in the Solomon Islands known for its dense population, strong communal culture, and well-preserved traditional way of life.
-
D.
Nealy
Nealy is a diminutive or affectionate form of the given name Neal.
-
E.
Mangina
Mangina is a town in North Kivu Province in the eastern Democratic Republic of the Congo that gained international attention as a focal point of the 2018–2020 Kivu Ebola epidemic.
- 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: Anying Triple: [Mao Anying, givenName, Anying]
Generated description
Anying is the given name of Mao Anying, the eldest son of Chinese leader Mao Zedong who was killed in action during the Korean War.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anying Target entity description: Anying is the given name of Mao Anying, the eldest son of Chinese leader Mao Zedong who was killed in action during the Korean War.
-
A.
Anif
Anif is a small Austrian municipality near Salzburg, known for its historic castle and as a residence of notable figures.
-
B.
Anu
Anu is the ancient Mesopotamian sky god and supreme ruler of the pantheon, associated with authority, kingship, and the heavens.
-
C.
Anuta
Anuta is a small, remote Polynesian outlier island in the Solomon Islands known for its dense population, strong communal culture, and well-preserved traditional way of life.
-
D.
Nealy
Nealy is a diminutive or affectionate form of the given name Neal.
-
E.
Mangina
Mangina is a town in North Kivu Province in the eastern Democratic Republic of the Congo that gained international attention as a focal point of the 2018–2020 Kivu Ebola epidemic.
- 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_69a4935a94308190bb92555b79032824 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4c06d73608190be87be49c4367072 |
completed | March 1, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac998e56488190ac3cf51563335e30 |
completed | March 7, 2026, 9:33 p.m. |
| NEDg | Description generation | batch_69ac9a14a53481908c45e4e6609a368e |
completed | March 7, 2026, 9:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac9a98788881909e316322af87b848 |
completed | March 7, 2026, 9:37 p.m. |
Created at: March 1, 2026, 7:50 p.m.