Triple
T13813867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snow Flower and the Secret Fan |
E331962
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Michael Ray
Michael Ray is a screenwriter known for his work on the film adaptation of "Snow Flower and the Secret Fan."
|
E1063540
|
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: Michael Ray | Statement: [Snow Flower and the Secret Fan, screenwriter, Michael Ray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Ray Context triple: [Snow Flower and the Secret Fan, screenwriter, Michael Ray]
-
A.
Mark Wills
Mark Wills is an American country music singer known for his late-1990s and early-2000s hits on the Billboard country charts.
-
B.
Michael Penn
Michael Penn is an American singer-songwriter and composer known for his work on film scores and his 1989 hit single "No Myth."
-
C.
Dylan Scott
Dylan Scott is an American country music singer and songwriter known for hits like "My Girl" and "Hooked."
-
D.
Lee Brice
Lee Brice is an American country music singer-songwriter known for hits like "Love Like Crazy" and "I Don't Dance."
-
E.
Brett James
Brett James is an American country music songwriter and producer known for crafting hit songs for major artists across the genre.
- 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: Michael Ray Triple: [Snow Flower and the Secret Fan, screenwriter, Michael Ray]
Generated description
Michael Ray is a screenwriter known for his work on the film adaptation of "Snow Flower and the Secret Fan."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Ray Target entity description: Michael Ray is a screenwriter known for his work on the film adaptation of "Snow Flower and the Secret Fan."
-
A.
Mark Wills
Mark Wills is an American country music singer known for his late-1990s and early-2000s hits on the Billboard country charts.
-
B.
Michael Penn
Michael Penn is an American singer-songwriter and composer known for his work on film scores and his 1989 hit single "No Myth."
-
C.
Dylan Scott
Dylan Scott is an American country music singer and songwriter known for hits like "My Girl" and "Hooked."
-
D.
Lee Brice
Lee Brice is an American country music singer-songwriter known for hits like "Love Like Crazy" and "I Don't Dance."
-
E.
Brett James
Brett James is an American country music songwriter and producer known for crafting hit songs for major artists across the genre.
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de027198f8819095da3e714ac241f5 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8de34a4819090c99cb78b941003 |
completed | May 3, 2026, 9:06 p.m. |
| NEDg | Description generation | batch_69f7b974fce88190ace5030555b7b5f1 |
completed | May 3, 2026, 9:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7ba99ad9c8190906b6b63cf27a446 |
completed | May 3, 2026, 9:14 p.m. |
Created at: April 9, 2026, 10:12 p.m.