Triple
T2825245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yale School of Medicine |
E54902
|
entity |
| Predicate | hasNotableFaculty |
P141
|
FINISHED |
| Object |
Haifan Lin
Haifan Lin is a prominent stem cell and developmental biologist known for his pioneering research on germline stem cells and RNA regulation.
|
E300600
|
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: Haifan Lin | Statement: [Yale School of Medicine, hasNotableFaculty, Haifan Lin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haifan Lin Context triple: [Yale School of Medicine, hasNotableFaculty, Haifan Lin]
-
A.
Chang Chen
Chang Chen is a Taiwanese actor known for his roles in acclaimed films such as "Crouching Tiger, Hidden Dragon," "Happy Together," and various international productions.
-
B.
Jamie Chen
Jamie Chen is known as the spouse of Steve Chen, the co-founder of YouTube.
-
C.
Lim Jock Hoi
Lim Jock Hoi is a Bruneian diplomat who served as the 14th Secretary-General of the Association of Southeast Asian Nations (ASEAN).
-
D.
Zhuo Lin
Zhuo Lin was a Chinese political figure best known as the wife of paramount leader Deng Xiaoping and a supportive partner throughout his revolutionary and reform-era career.
-
E.
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.
- 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: Haifan Lin Triple: [Yale School of Medicine, hasNotableFaculty, Haifan Lin]
Generated description
Haifan Lin is a prominent stem cell and developmental biologist known for his pioneering research on germline stem cells and RNA regulation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Haifan Lin Target entity description: Haifan Lin is a prominent stem cell and developmental biologist known for his pioneering research on germline stem cells and RNA regulation.
-
A.
Chang Chen
Chang Chen is a Taiwanese actor known for his roles in acclaimed films such as "Crouching Tiger, Hidden Dragon," "Happy Together," and various international productions.
-
B.
Jamie Chen
Jamie Chen is known as the spouse of Steve Chen, the co-founder of YouTube.
-
C.
Lim Jock Hoi
Lim Jock Hoi is a Bruneian diplomat who served as the 14th Secretary-General of the Association of Southeast Asian Nations (ASEAN).
-
D.
Zhuo Lin
Zhuo Lin was a Chinese political figure best known as the wife of paramount leader Deng Xiaoping and a supportive partner throughout his revolutionary and reform-era career.
-
E.
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.
- 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_69ab49e100c0819082a40cb797383243 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde925e688190bb390d3182f8c4f0 |
completed | March 7, 2026, 8:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afceaf9298819093eb24a8ff0b5e02 |
completed | March 10, 2026, 7:56 a.m. |
| NEDg | Description generation | batch_69afcf20b6a08190bdf91bed219d2653 |
completed | March 10, 2026, 7:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afcf7e02648190889576d7a180a193 |
completed | March 10, 2026, 7:59 a.m. |
Created at: March 6, 2026, 9:59 p.m.