Triple
T18412519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Kruger statue |
E441795
|
entity |
| Predicate | subjectAlsoKnownAs |
P39
|
FINISHED |
| Object | Oom Paul |
—
|
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: Oom Paul | Statement: [Paul Kruger statue, subjectAlsoKnownAs, Oom Paul]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oom Paul Context triple: [Paul Kruger statue, subjectAlsoKnownAs, Oom Paul]
-
A.
Oom Paul
chosen
Oom Paul is the affectionate nickname of Paul Kruger, the influential 19th-century Boer leader and president of the South African Republic.
-
B.
Ommen
Ommen is a small historic town and municipality in the Dutch province of Overijssel, known for its scenic river landscapes and tourism.
-
C.
Pippu
Pippu is a small town in Hokkaido, Japan, known for its ski resort and agricultural production.
-
D.
Eyeball Paul
Eyeball Paul is a fictional, hard-partying DJ and comic antagonist from the British comedy film "Kevin & Perry Go Large."
-
E.
Pim
Pim is the commonly used short form of the Dutch given name Willem.
- 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_69d8b9eb8a508190a942fd75ebd8b1dc |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51a259c1c819094e710bb4a7ace75 |
completed | April 19, 2026, 6:08 p.m. |
Created at: April 10, 2026, 10:47 a.m.