Triple
T14486812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince of Yan |
E359249
|
entity |
| Predicate | titleInPinyin |
P41219
|
FINISHED |
| Object | Yan Wang |
E218806
|
NE FINISHED |
How this triple was built (3 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: Yan Wang | Statement: [Prince of Yan, titleInPinyin, Yan Wang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yan Wang Context triple: [Prince of Yan, titleInPinyin, Yan Wang]
-
A.
Yanluo Wang
chosen
Yanluo Wang is the Chinese deity who presides over the underworld and judges the souls of the dead.
-
B.
Yuhuai Wu
Yuhuai Wu is an AI researcher and entrepreneur known for his work on large language models and as a member of Elon Musk’s xAI team.
-
C.
Ziyu Wang
Ziyu Wang is a machine learning researcher best known for co-developing the dueling deep Q-network (Dueling DQN) architecture in deep reinforcement learning.
-
D.
Geling Yan
Geling Yan is a Chinese-American novelist and screenwriter known for her emotionally powerful works that often explore the human impact of war, political upheaval, and social change in modern Chinese history.
-
E.
Tingye Li
Tingye Li was a pioneering Chinese-American optical engineer and physicist renowned for his foundational contributions to laser and fiber-optic communications.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleInPinyin Context triple: [Prince of Yan, titleInPinyin, Yan Wang]
-
A.
titleInKanji
Indicates that one entity is the title of another entity written specifically in Kanji characters.
-
B.
hasChineseTitle
Indicates that an entity possesses a title or name expressed in the Chinese language.
-
C.
titleInLatinScript
Indicates that the title of an entity is written or represented using a Latin-based writing system.
-
D.
titleInKorean
Indicates that an entity has a specific title expressed in the Korean language.
-
E.
ChinesePinyin
chosen
Indicates that one entity is the Chinese pinyin (romanized phonetic transcription) representation of another entity.
- F. None of above.
Provenance (4 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de924ee0f08190baf68318b41fa64d |
completed | April 14, 2026, 7:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd64a925148190992101984895a20b |
completed | May 8, 2026, 4:20 a.m. |
| PD | Predicate disambiguation | batch_69de5c487b4c819097803e58dca628a5 |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:20 a.m.