Triple
T14115606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexander Downer |
E339766
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Alexander Downer |
E339766
|
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: Alexander Downer | Statement: [Alexander Downer, name, Alexander Downer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alexander Downer Context triple: [Alexander Downer, name, Alexander Downer]
-
A.
Alexander Downer
chosen
Alexander Downer is an Australian diplomat and former politician who served as the country’s longest-serving Minister for Foreign Affairs.
-
B.
Peter Cosgrove
Peter Cosgrove is an Australian retired senior Army officer who served as the 26th Governor-General of Australia.
-
C.
James Brendan Bolger
James Brendan Bolger is a New Zealand politician who served as the country's 35th prime minister from 1990 to 1997, leading the National Party.
-
D.
Clive Tickner
Clive Tickner is a British cinematographer known for his work on films such as the comedy "The Tall Guy."
-
E.
Michael Bevan
Michael Bevan is a former Australian cricketer renowned as one of the greatest One Day International finishers, celebrated for his calm, match-winning batting in pressure situations.
- 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_69d81c6a95b481909e39111e0c1f31ee |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de6010a03c81909f5f160f8d1fa8fa |
completed | April 14, 2026, 3:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd0baa328819099511dfa7b9666d3 |
completed | May 7, 2026, 5:49 p.m. |
Created at: April 9, 2026, 10:22 p.m.