Triple
T8022755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stir Fry |
E186776
|
entity |
| Predicate | musicVideoDirector |
P4911
|
FINISHED |
| Object |
Sing J. Lee
Sing J. Lee is a British film and music video director known for his visually distinctive, narrative-driven work with prominent artists across pop and alternative music.
|
E707765
|
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: Sing J. Lee | Statement: [Stir Fry, musicVideoDirector, Sing J. Lee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sing J. Lee Context triple: [Stir Fry, musicVideoDirector, Sing J. Lee]
-
A.
C.S. Lee
C.S. Lee is a Korean-American actor best known for his role as forensic analyst Vince Masuka on the television series "Dexter."
-
B.
Mark Lee
Mark Lee is an Australian actor best known for his leading role in the acclaimed World War I film "Gallipoli."
-
C.
Mark Lee
Mark Lee is a prominent contemporary architect known for his minimalist, context-sensitive designs and leadership of the Los Angeles–based firm Johnston Marklee.
-
D.
Michele Lee
Michele Lee is an American actress and singer best known for her long-running role as Karen MacKenzie on the prime-time soap opera "Knots Landing."
-
E.
Hau Lee
Hau Lee is a prominent operations and supply chain management scholar known for his influential research on global supply networks and his long-standing professorship at Stanford Graduate School of Business.
- 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: Sing J. Lee Triple: [Stir Fry, musicVideoDirector, Sing J. Lee]
Generated description
Sing J. Lee is a British film and music video director known for his visually distinctive, narrative-driven work with prominent artists across pop and alternative music.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sing J. Lee Target entity description: Sing J. Lee is a British film and music video director known for his visually distinctive, narrative-driven work with prominent artists across pop and alternative music.
-
A.
C.S. Lee
C.S. Lee is a Korean-American actor best known for his role as forensic analyst Vince Masuka on the television series "Dexter."
-
B.
Mark Lee
Mark Lee is an Australian actor best known for his leading role in the acclaimed World War I film "Gallipoli."
-
C.
Mark Lee
Mark Lee is a prominent contemporary architect known for his minimalist, context-sensitive designs and leadership of the Los Angeles–based firm Johnston Marklee.
-
D.
Michele Lee
Michele Lee is an American actress and singer best known for her long-running role as Karen MacKenzie on the prime-time soap opera "Knots Landing."
-
E.
Hau Lee
Hau Lee is a prominent operations and supply chain management scholar known for his influential research on global supply networks and his long-standing professorship at Stanford Graduate School of Business.
- 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_69ca82ad4e2c8190a693e3c9e30fe66f |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3e8fb6788190a16413051ec26988 |
completed | March 31, 2026, 3:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc56cdce588190abba45c24dc7a5e7 |
completed | March 31, 2026, 11:20 p.m. |
| NEDg | Description generation | batch_69cc58aac4288190a2be4691fc740171 |
completed | March 31, 2026, 11:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc5cbaefb481909eb325f0d27675c0 |
completed | March 31, 2026, 11:46 p.m. |
Created at: March 30, 2026, 5:21 p.m.