Triple
T11005671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan Pienaar |
E260111
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Pienaar |
E453810
|
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: Pienaar | Statement: [Dan Pienaar, familyName, Pienaar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pienaar Context triple: [Dan Pienaar, familyName, Pienaar]
-
A.
Pienaar
chosen
Pienaar is a South African surname most famously associated with Francois Pienaar, the former Springbok rugby captain who led South Africa to victory in the 1995 Rugby World Cup.
-
B.
Poike
Poike is one of the three main extinct volcanic cones that form the triangular shape of Easter Island in the southeastern Pacific Ocean.
-
C.
Nanneella
Nanneella is a small rural town in northern Victoria, Australia, situated within the Shire of Campaspe and known for its agricultural surroundings.
-
D.
Pikaliiva
Pikaliiva is a residential subdistrict of Tallinn, Estonia, located within the Haabersti district.
-
E.
Püppi
Püppi was the nickname of Gudrun Himmler, the daughter of Heinrich Himmler, who became known for her lifelong loyalty to her father's Nazi legacy.
- 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797562de4819097a0e136180d283a |
completed | April 9, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3454cb6008190b24b128d507f2cf4 |
completed | April 18, 2026, 8:48 a.m. |
Created at: April 8, 2026, 9:25 p.m.