Triple
T16766846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel H. Janzen |
E407487
|
entity |
| Predicate | hasSurname |
P18
|
FINISHED |
| Object | Janzen |
E407487
|
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: Janzen | Statement: [Daniel H. Janzen, hasSurname, Janzen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Janzen Context triple: [Daniel H. Janzen, hasSurname, Janzen]
-
A.
Janzen
chosen
Janzen is a surname most notably associated with American evolutionary ecologist Daniel H. Janzen, renowned for his work in tropical ecology and biodiversity conservation.
-
B.
Jawz
Jawz is the jaguar mascot representing Indiana University–Purdue University Indianapolis (IUPUI) at its athletic events and campus activities.
-
C.
Klein-Motten
Klein-Motten is a small village in Lower Austria, best known historically as the place where Maria Schicklgruber, Adolf Hitler’s paternal grandmother, died.
-
D.
Odenberg
Odenberg is a Swedish surname most notably associated with politician Mikael Odenberg.
-
E.
Glinojeck
Glinojeck is a small town in east-central Poland, located in the Masovian Voivodeship.
- 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_69d8839174188190909f190097207065 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b0330d6081908ce99f14c70b90f2 |
completed | April 18, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a531ea7c81908630f16f6c685d49 |
completed | May 10, 2026, 3:33 p.m. |
Created at: April 10, 2026, 5:21 a.m.