Triple
T3826723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chinese American cinema |
E88707
|
entity |
| Predicate | notableDirector |
P4744
|
FINISHED |
| Object |
Alice Wu
Alice Wu is a Chinese American filmmaker best known for her groundbreaking queer-themed films such as "Saving Face" and "The Half of It."
|
E390733
|
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: Alice Wu | Statement: [Chinese American cinema, notableDirector, Alice Wu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alice Wu Context triple: [Chinese American cinema, notableDirector, Alice Wu]
-
A.
Lulu Wang
Lulu Wang is a Chinese-American filmmaker best known for writing and directing the critically acclaimed film "The Farewell."
-
B.
Karen Kwan
Karen Kwan is an American figure skater and the older sister of Olympic medalist Michelle Kwan.
-
C.
Constance Wu
Constance Wu is an American actress best known for her starring roles in the TV series "Fresh Off the Boat" and the film "Crazy Rich Asians."
-
D.
Jennifer Lien
Jennifer Lien is an American actress best known for her role as Kes on the television series "Star Trek: Voyager."
-
E.
Elizabeth Chai Vasarhelyi
Elizabeth Chai Vasarhelyi is an Academy Award–winning documentary filmmaker best known for co-directing the climbing film "Free Solo" and other acclaimed nonfiction features.
- 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: Alice Wu Triple: [Chinese American cinema, notableDirector, Alice Wu]
Generated description
Alice Wu is a Chinese American filmmaker best known for her groundbreaking queer-themed films such as "Saving Face" and "The Half of It."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alice Wu Target entity description: Alice Wu is a Chinese American filmmaker best known for her groundbreaking queer-themed films such as "Saving Face" and "The Half of It."
-
A.
Lulu Wang
Lulu Wang is a Chinese-American filmmaker best known for writing and directing the critically acclaimed film "The Farewell."
-
B.
Karen Kwan
Karen Kwan is an American figure skater and the older sister of Olympic medalist Michelle Kwan.
-
C.
Constance Wu
Constance Wu is an American actress best known for her starring roles in the TV series "Fresh Off the Boat" and the film "Crazy Rich Asians."
-
D.
Jennifer Lien
Jennifer Lien is an American actress best known for her role as Kes on the television series "Star Trek: Voyager."
-
E.
Elizabeth Chai Vasarhelyi
Elizabeth Chai Vasarhelyi is an Academy Award–winning documentary filmmaker best known for co-directing the climbing film "Free Solo" and other acclaimed nonfiction features.
- 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_69aed9538cf881909d9ce8ca4ac7c18c |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeeb64c72c8190b5f3d376aa4ee933 |
completed | March 9, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4fb4f41c88190b3040236462c37cc |
completed | March 14, 2026, 6:08 a.m. |
| NEDg | Description generation | batch_69b4fc9fc5dc81908772fc642285abf6 |
completed | March 14, 2026, 6:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4fd0dc3d48190b907d7a1c1e44066 |
completed | March 14, 2026, 6:15 a.m. |
Created at: March 9, 2026, 3:17 p.m.