Triple
T12199187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phil Rudd |
E290667
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Rudd |
E528843
|
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: Rudd | Statement: [Phil Rudd, familyName, Rudd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rudd Context triple: [Phil Rudd, familyName, Rudd]
-
A.
Rudd
chosen
Rudd is a surname most prominently associated with American actor and comedian Paul Rudd.
-
B.
Kevin Rudd
Kevin Rudd is an Australian politician and former Prime Minister who led the Australian Labor Party and served two non-consecutive terms in office.
-
C.
Billy Hughes
Billy Hughes was an Australian politician who served as the country's seventh Prime Minister during World War I and is noted for his long and controversial parliamentary career.
-
D.
Andrew Wilkie
Andrew Wilkie is an Australian politician and former intelligence officer known for his high-profile resignation over the Iraq War and subsequent advocacy for government accountability and civil liberties.
-
E.
Tony Abbott
Tony Abbott is an Australian politician who served as the 28th Prime Minister of Australia from 2013 to 2015 and long-time member of the Liberal Party.
- 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c79f6cc8190ae8163d2016078c0 |
completed | April 10, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a933fc481909f9e062365bf05fc |
completed | May 2, 2026, 2:30 p.m. |
Created at: April 8, 2026, 9:50 p.m.