Triple
T6526384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Menil Drawing Institute |
E151312
|
entity |
| Predicate | architect |
P184
|
FINISHED |
| Object |
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.
|
E602923
|
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: Mark Lee | Statement: [Menil Drawing Institute, architect, Mark Lee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Lee Context triple: [Menil Drawing Institute, architect, Mark Lee]
-
A.
Mark Lee
Mark Lee is an Australian actor best known for his leading role in the acclaimed World War I film "Gallipoli."
-
B.
Don Lee
Don Lee was a prominent early 20th-century American broadcasting pioneer and automobile dealer whose influence in Los Angeles led to Mount Lee being named in his honor.
-
C.
Paul Lee
Paul Lee is a British television executive and producer known for leading major networks such as ABC and for overseeing acclaimed series including "Mare of Easttown."
-
D.
Michael Kang
Michael Kang is an American musician best known as a multi-instrumentalist and prominent member of the jam band The String Cheese Incident.
-
E.
Tony Lee
Tony Lee is an actor known for his role in the Australian drama film "Romper Stomper."
- 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: Mark Lee Triple: [Menil Drawing Institute, architect, Mark Lee]
Generated description
Mark Lee is a prominent contemporary architect known for his minimalist, context-sensitive designs and leadership of the Los Angeles–based firm Johnston Marklee.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mark Lee Target entity description: Mark Lee is a prominent contemporary architect known for his minimalist, context-sensitive designs and leadership of the Los Angeles–based firm Johnston Marklee.
-
A.
Mark Lee
Mark Lee is an Australian actor best known for his leading role in the acclaimed World War I film "Gallipoli."
-
B.
Don Lee
Don Lee was a prominent early 20th-century American broadcasting pioneer and automobile dealer whose influence in Los Angeles led to Mount Lee being named in his honor.
-
C.
Paul Lee
Paul Lee is a British television executive and producer known for leading major networks such as ABC and for overseeing acclaimed series including "Mare of Easttown."
-
D.
Michael Kang
Michael Kang is an American musician best known as a multi-instrumentalist and prominent member of the jam band The String Cheese Incident.
-
E.
Tony Lee
Tony Lee is an actor known for his role in the Australian drama film "Romper Stomper."
- 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_69c687f522748190b3058405553cdabd |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ada8a0e48190947616f3a09a2cba |
completed | March 27, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d5271b7c8190a602f6ec72efe04c |
completed | March 27, 2026, 7:06 p.m. |
| NEDg | Description generation | batch_69c6d622831c8190b09b8539e36afb7c |
completed | March 27, 2026, 7:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6d6b00ebc8190b893b3e209bf07c0 |
completed | March 27, 2026, 7:12 p.m. |
Created at: March 27, 2026, 1:45 p.m.