Triple
T6949689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morphosis |
E160887
|
entity |
| Predicate | coFoundedBy |
P3263
|
FINISHED |
| Object |
Michael Brickler
Michael Brickler is an entrepreneur best known as a co-founder of the architecture and design firm Morphosis.
|
E674257
|
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 Brickler | Statement: [Morphosis, coFoundedBy, Michael Brickler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Brickler Context triple: [Morphosis, coFoundedBy, Michael Brickler]
-
A.
Paul Brickman
Paul Brickman is an American filmmaker and screenwriter best known for writing and directing the 1983 coming-of-age film "Risky Business."
-
B.
Len Blum
Len Blum is a Canadian screenwriter known for his work on numerous comedy films, including the 2006 reboot of The Pink Panther.
-
C.
Michael Blum
Michael Blum is best known as the husband of comedian and actress Julia Sweeney.
-
D.
Rich Kleiman
Rich Kleiman is an American sports agent and entrepreneur best known as Kevin Durant’s longtime business partner and co-founder of the sports and entertainment company Boardroom and the investment firm Thirty Five Ventures.
-
E.
Ted Briskin
Ted Briskin was an American businessman best known as the first husband of Hollywood actress and singer Betty Hutton.
- 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 Brickler Triple: [Morphosis, coFoundedBy, Michael Brickler]
Generated description
Michael Brickler is an entrepreneur best known as a co-founder of the architecture and design firm Morphosis.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Brickler Target entity description: Michael Brickler is an entrepreneur best known as a co-founder of the architecture and design firm Morphosis.
-
A.
Paul Brickman
Paul Brickman is an American filmmaker and screenwriter best known for writing and directing the 1983 coming-of-age film "Risky Business."
-
B.
Len Blum
Len Blum is a Canadian screenwriter known for his work on numerous comedy films, including the 2006 reboot of The Pink Panther.
-
C.
Michael Blum
Michael Blum is best known as the husband of comedian and actress Julia Sweeney.
-
D.
Rich Kleiman
Rich Kleiman is an American sports agent and entrepreneur best known as Kevin Durant’s longtime business partner and co-founder of the sports and entertainment company Boardroom and the investment firm Thirty Five Ventures.
-
E.
Ted Briskin
Ted Briskin was an American businessman best known as the first husband of Hollywood actress and singer Betty Hutton.
- 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_69c68850419081909fb426b8f5a304c7 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6daad028c8190a6db5b2d029d4dfc |
completed | March 27, 2026, 7:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c861218ac081909798edadae16162f |
completed | March 28, 2026, 11:15 p.m. |
| NEDg | Description generation | batch_69c861d1255881909091426b62bfdd1e |
completed | March 28, 2026, 11:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8627e9a6c8190baf4e8bb113845f1 |
completed | March 28, 2026, 11:21 p.m. |
Created at: March 27, 2026, 2:29 p.m.