Triple
T14545449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Division of Brand |
E341280
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | David Brand |
E924300
|
NE FINISHED |
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: David Brand | Statement: [Division of Brand, namedAfter, David Brand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Brand Context triple: [Division of Brand, namedAfter, David Brand]
-
A.
David Brand
chosen
David Brand was a prominent Australian politician who served as Premier of Western Australia from 1959 to 1971.
-
B.
Jonathan Brand
Jonathan Brand is an American academic administrator and lawyer who serves as the president of Cornell College in Mount Vernon, Iowa.
-
C.
David Bartis
David Bartis is an American television and film producer known for his work on series such as Covert Affairs and his long-time collaboration with director Doug Liman.
-
D.
John Tarrant
John Tarrant is the central intelligence officer protagonist of the 1974 British spy thriller film "The Black Windmill," who becomes embroiled in a kidnapping and espionage plot.
-
E.
Bruce Broughton
Bruce Broughton is an American composer best known for his orchestral film and television scores, including work for Disney attractions and numerous Hollywood productions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb1bfc2b48190adb0897682c26a9a |
completed | April 14, 2026, 9:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a60f2f88190b08fdf0a3095d0a7 |
completed | May 8, 2026, 5:53 a.m. |
Created at: April 10, 2026, 1:22 a.m.