Triple
T16079627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sydney Tower |
E390070
|
entity |
| Predicate | architect |
P184
|
FINISHED |
| Object | Donald Crone |
—
|
NE NERFINISHED |
How this triple was built (2 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: Donald Crone | Statement: [Sydney Tower, architect, Donald Crone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donald Crone Context triple: [Sydney Tower, architect, Donald Crone]
-
A.
Donald Crone
chosen
Donald Crone is an Australian architect best known for designing Sydney’s iconic Sydney Tower.
-
B.
Paul McCrane
Paul McCrane is an American actor and director best known for his roles in the film "Fame" and the television series "ER" and "RoboCop."
-
C.
H. Michael Croner
H. Michael Croner is an American actor and comedian known for his voice and on-screen roles in television and animation.
-
D.
Scott Crago
Scott Crago is an American drummer and percussionist best known for his long-time work as a touring and session musician with the Eagles and numerous other rock and country artists.
-
E.
Ken Krueger
Ken Krueger was an American publisher and bookseller best known as a pioneering figure in comics fandom and a key organizer in the early development of major comic conventions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e18448bebc8190b0e84b1da097bf8b |
completed | April 17, 2026, 12:52 a.m. |
Created at: April 10, 2026, 4:57 a.m.