Triple
T10350133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lee Hsien Loong |
E243858
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Li Haoyi
Li Haoyi is a child of Singapore’s former Prime Minister Lee Hsien Loong and thus a member of Singapore’s prominent Lee political family.
|
E859249
|
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: Li Haoyi | Statement: [Lee Hsien Loong, hasChild, Li Haoyi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Li Haoyi Context triple: [Lee Hsien Loong, hasChild, Li Haoyi]
-
A.
Yang Tianyi
Yang Tianyi is an online content creator known for gaining popularity and a significant following on digital platforms.
-
B.
Zhao Huanyu
Zhao Huanyu is an actor known for appearing in the Chinese film "Special ID."
-
C.
Li Weihan
Li Weihan was a prominent Chinese Communist revolutionary and politician who played key roles in party organization and United Front work in the early and mid-20th century.
-
D.
Lin Yipeng
Lin Yipeng is the birth name of Justin Lin, a Taiwanese-American film director best known for his work on the Fast & Furious franchise.
-
E.
Lu Haodong
Lu Haodong was a pioneering Chinese revolutionary and close associate of Sun Yat-sen, remembered for designing the early revolutionary flag and being one of the first martyrs of the anti-Qing movement.
- 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: Li Haoyi Triple: [Lee Hsien Loong, hasChild, Li Haoyi]
Generated description
Li Haoyi is a child of Singapore’s former Prime Minister Lee Hsien Loong and thus a member of Singapore’s prominent Lee political family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Li Haoyi Target entity description: Li Haoyi is a child of Singapore’s former Prime Minister Lee Hsien Loong and thus a member of Singapore’s prominent Lee political family.
-
A.
Yang Tianyi
Yang Tianyi is an online content creator known for gaining popularity and a significant following on digital platforms.
-
B.
Zhao Huanyu
Zhao Huanyu is an actor known for appearing in the Chinese film "Special ID."
-
C.
Li Weihan
Li Weihan was a prominent Chinese Communist revolutionary and politician who played key roles in party organization and United Front work in the early and mid-20th century.
-
D.
Lin Yipeng
Lin Yipeng is the birth name of Justin Lin, a Taiwanese-American film director best known for his work on the Fast & Furious franchise.
-
E.
Lu Haodong
Lu Haodong was a pioneering Chinese revolutionary and close associate of Sun Yat-sen, remembered for designing the early revolutionary flag and being one of the first martyrs of the anti-Qing movement.
- 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e94796d881909e0b908de63a1aa3 |
completed | April 7, 2026, 11:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7951e65948190a25e559ba94be3c7 |
completed | April 9, 2026, 12:01 p.m. |
| NEDg | Description generation | batch_69d7975191ac8190b32eb6cc1f5c88aa |
completed | April 9, 2026, 12:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d798655c7c8190a5da5ef976102285 |
completed | April 9, 2026, 12:15 p.m. |
Created at: April 6, 2026, 11:57 a.m.