Triple
T1713165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sandy |
E37229
|
entity |
| Predicate | relatedName |
P3889
|
FINISHED |
| Object | Sander |
E136997
|
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: Sander | Statement: [Sandy, relatedName, Sander]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sander Context triple: [Sandy, relatedName, Sander]
-
A.
Zander
Zander is a given name, often used as a variant or short form of Alexander, that can function as either a first name or surname.
-
B.
Schalk
Schalk is a masculine given name of Afrikaans and Dutch origin, commonly used in South Africa.
-
C.
Sander Loones
chosen
Sander Loones is a Belgian politician and member of the New Flemish Alliance (N-VA) who has served in both national and European political roles.
-
D.
Janson
Janson is a surname and given name of European origin, often considered a variant of Jackson.
-
E.
Sven
Sven is the lovable reindeer companion in Disney's animated film "Frozen," known for his close bond with Kristoff and his expressive, dog-like personality.
- 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_69a8861912dc8190931af43b4b9158a7 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa63174b3c8190bd2406c78407be28 |
completed | March 6, 2026, 5:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada0d1882c81908e02e36ab28e7fdc |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 4, 2026, 7:30 p.m.