Triple
T12262476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UTS Tower |
E292257
|
entity |
| Predicate | architect |
P184
|
FINISHED |
| Object |
Michael Dysart
Michael Dysart is an Australian architect best known for designing the UTS Tower, a prominent example of Brutalist architecture in Sydney.
|
E971140
|
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 Dysart | Statement: [UTS Tower, architect, Michael Dysart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Dysart Context triple: [UTS Tower, architect, Michael Dysart]
-
A.
Douglas Meyer
Douglas Meyer is a theatrical producer best known for his work on the Broadway musical adaptation of "The Wedding Singer."
-
B.
Philip Dunne
Philip Dunne was an American screenwriter, director, and producer best known for his work on classic Hollywood films from the 1930s through the 1960s.
-
C.
Philip Bruns
Philip Bruns was an American character actor best known for his television and film roles in the 1970s and 1980s, including his work on the satirical soap opera "Mary Hartman, Mary Hartman."
-
D.
Robert Dorer
Robert Dorer was a sculptor best known for creating the National Monument of Geneva in Switzerland.
-
E.
Seymour Parrish
Seymour Parrish is the lonely, obsessive photo technician portrayed by Robin Williams in the psychological thriller film "One Hour Photo."
- 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 Dysart Triple: [UTS Tower, architect, Michael Dysart]
Generated description
Michael Dysart is an Australian architect best known for designing the UTS Tower, a prominent example of Brutalist architecture in Sydney.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Dysart Target entity description: Michael Dysart is an Australian architect best known for designing the UTS Tower, a prominent example of Brutalist architecture in Sydney.
-
A.
Douglas Meyer
Douglas Meyer is a theatrical producer best known for his work on the Broadway musical adaptation of "The Wedding Singer."
-
B.
Philip Dunne
Philip Dunne was an American screenwriter, director, and producer best known for his work on classic Hollywood films from the 1930s through the 1960s.
-
C.
Philip Bruns
Philip Bruns was an American character actor best known for his television and film roles in the 1970s and 1980s, including his work on the satirical soap opera "Mary Hartman, Mary Hartman."
-
D.
Robert Dorer
Robert Dorer was a sculptor best known for creating the National Monument of Geneva in Switzerland.
-
E.
Seymour Parrish
Seymour Parrish is the lonely, obsessive photo technician portrayed by Robin Williams in the psychological thriller film "One Hour Photo."
- 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_69d6ab6856488190b5d31178d5015f8e |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cdb0a948190aeee4ca3c01f801e |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60ac3ce008190856a917c2c75862a |
completed | May 2, 2026, 2:31 p.m. |
| NEDg | Description generation | batch_69f60f220554819088c0aa5706f44856 |
completed | May 2, 2026, 2:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60f9f40f48190b60be483d1922b22 |
completed | May 2, 2026, 2:52 p.m. |
Created at: April 8, 2026, 9:52 p.m.