Triple
T1373814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johannes Paulus Kruger |
E30173
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Oom Paul |
E18025
|
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: Oom Paul | Statement: [Johannes Paulus Kruger, alsoKnownAs, Oom Paul]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oom Paul Context triple: [Johannes Paulus Kruger, alsoKnownAs, 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.
Koops
Koops is a timid Koopa Troopa character and party member from the video game "Paper Mario: The Thousand-Year Door."
-
C.
Munnik
Munnik is a given name associated with J. B. M. Hertzog, a prominent early 20th-century South African prime minister and political leader.
-
D.
Milo
Milo is a popular chocolate and malt powdered drink brand produced by Nestlé and widely consumed around the world, especially by children and athletes.
-
E.
Woensel
Woensel is a large residential district in the northern part of the Dutch city of Eindhoven, known for its diverse population and extensive post-war housing.
- 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_69a498f912008190a376a98b207b2071 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c2f660888190bc9240e0dc4f0aa3 |
completed | March 1, 2026, 10:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acd48397c88190b5be985bf92d47b8 |
completed | March 8, 2026, 1:44 a.m. |
Created at: March 1, 2026, 7:57 p.m.