Triple
T16106174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Awkwafina |
E390743
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object |
Nora Lum
Nora Lum, known professionally as Awkwafina, is an American actress, comedian, rapper, and writer recognized for her roles in films like "Crazy Rich Asians" and "The Farewell."
|
E1200072
|
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: Nora Lum | Statement: [Awkwafina, birthName, Nora Lum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nora Lum Context triple: [Awkwafina, birthName, Nora Lum]
-
A.
Margaret Deland
Margaret Deland was an American novelist and short story writer of the late 19th and early 20th centuries, known for her realistic portrayals of domestic life and moral conflict.
-
B.
Mabel Lum
Mabel Lum was the mother of American actress and singer Betty Hutton.
-
C.
Alma Ross
Alma Ross was one of the early wives of famed American jazz and swing musician Louis Prima.
-
D.
Dolores Fuller
Dolores Fuller was an American actress, songwriter, and longtime muse and partner of cult filmmaker Ed Wood, known for her roles in his low-budget films and for writing songs recorded by Elvis Presley.
-
E.
Alyce Mayo
Alyce Mayo is an American actress and former wife of acclaimed actor Peter Falk.
- 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: Nora Lum Triple: [Awkwafina, birthName, Nora Lum]
Generated description
Nora Lum, known professionally as Awkwafina, is an American actress, comedian, rapper, and writer recognized for her roles in films like "Crazy Rich Asians" and "The Farewell."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nora Lum Target entity description: Nora Lum, known professionally as Awkwafina, is an American actress, comedian, rapper, and writer recognized for her roles in films like "Crazy Rich Asians" and "The Farewell."
-
A.
Margaret Deland
Margaret Deland was an American novelist and short story writer of the late 19th and early 20th centuries, known for her realistic portrayals of domestic life and moral conflict.
-
B.
Mabel Lum
Mabel Lum was the mother of American actress and singer Betty Hutton.
-
C.
Alma Ross
Alma Ross was one of the early wives of famed American jazz and swing musician Louis Prima.
-
D.
Dolores Fuller
Dolores Fuller was an American actress, songwriter, and longtime muse and partner of cult filmmaker Ed Wood, known for her roles in his low-budget films and for writing songs recorded by Elvis Presley.
-
E.
Alyce Mayo
Alyce Mayo is an American actress and former wife of acclaimed actor Peter Falk.
- 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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff6d81d081909e1315f4dbfd7369 |
completed | April 17, 2026, 9:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00077efdf48190ac26f433f6b17dbe |
completed | May 10, 2026, 4:20 a.m. |
| NEDg | Description generation | batch_6a00084d8e308190bd90811392586753 |
completed | May 10, 2026, 4:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0008c7430c81908b9620369c609ad8 |
completed | May 10, 2026, 4:25 a.m. |
Created at: April 10, 2026, 5 a.m.