Triple
T17302574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lily Jan |
E420075
|
entity |
| Predicate | knownAs |
P39
|
FINISHED |
| Object |
Lily Y. Jan
Lily Y. Jan is a neuroscientist and professor renowned for her pioneering work on ion channels and neuronal signaling.
|
E1261226
|
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: Lily Y. Jan | Statement: [Lily Jan, knownAs, Lily Y. Jan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lily Y. Jan Context triple: [Lily Jan, knownAs, Lily Y. Jan]
-
A.
Anna M. Lee
Anna M. Lee was a party in the landmark U.S. Supreme Court case Hansberry v. Lee, which addressed issues of racially restrictive covenants and due process in property law.
-
B.
Hui-Ling Wang
Hui-Ling Wang is a Taiwanese screenwriter best known for co-writing the acclaimed Ang Lee films "Lust, Caution" and "Crouching Tiger, Hidden Dragon."
-
C.
Ji-Yoon Kim
Ji-Yoon Kim is the beleaguered yet determined new chair of a struggling university English department in the Netflix dramedy "The Chair," juggling academic politics, cultural change, and single motherhood.
-
D.
Ellen Woo
Ellen Woo is an actress known for her role in the television series "Californication."
-
E.
Alice Y. Ting
Alice Y. Ting is a chemical biologist known for pioneering methods to label and map proteins and cellular interactions in living cells.
- 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: Lily Y. Jan Triple: [Lily Jan, knownAs, Lily Y. Jan]
Generated description
Lily Y. Jan is a neuroscientist and professor renowned for her pioneering work on ion channels and neuronal signaling.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lily Y. Jan Target entity description: Lily Y. Jan is a neuroscientist and professor renowned for her pioneering work on ion channels and neuronal signaling.
-
A.
Anna M. Lee
Anna M. Lee was a party in the landmark U.S. Supreme Court case Hansberry v. Lee, which addressed issues of racially restrictive covenants and due process in property law.
-
B.
Hui-Ling Wang
Hui-Ling Wang is a Taiwanese screenwriter best known for co-writing the acclaimed Ang Lee films "Lust, Caution" and "Crouching Tiger, Hidden Dragon."
-
C.
Ji-Yoon Kim
Ji-Yoon Kim is the beleaguered yet determined new chair of a struggling university English department in the Netflix dramedy "The Chair," juggling academic politics, cultural change, and single motherhood.
-
D.
Ellen Woo
Ellen Woo is an actress known for her role in the television series "Californication."
-
E.
Alice Y. Ting
Alice Y. Ting is a chemical biologist known for pioneering methods to label and map proteins and cellular interactions in living cells.
- 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_69d886db32608190a61e18862c5a8af6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e438fba938819084333764b868bd83 |
completed | April 19, 2026, 2:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0180de8340819081eae1104d705de0 |
completed | May 11, 2026, 7:10 a.m. |
| NEDg | Description generation | batch_6a0181ae2d588190a4ff68094529a994 |
completed | May 11, 2026, 7:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0182ccd104819088569cf0be87b4d3 |
completed | May 11, 2026, 7:18 a.m. |
Created at: April 10, 2026, 5:41 a.m.