Triple
T4005452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel H. Janzen |
E89514
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Janzen
Janzen is a surname most notably associated with American evolutionary ecologist Daniel H. Janzen, renowned for his work in tropical ecology and biodiversity conservation.
|
E407487
|
NE FINISHED |
How this triple was built (4 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, familyName, Janzen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Janzen Context triple: [Daniel H. Janzen, familyName, Janzen]
-
A.
Jawz
Jawz is the jaguar mascot representing Indiana University–Purdue University Indianapolis (IUPUI) at its athletic events and campus activities.
-
B.
Letzel
Letzel is a German-language surname most notably borne by Czech architect Jan Letzel, designer of Hiroshima’s iconic A-Bomb Dome.
-
C.
Zurbriggen
Zurbriggen is a Swiss surname notably associated with mountaineers and alpine skiers.
-
D.
Westerveld
Westerveld is a rural municipality in the Dutch province of Drenthe, known for its natural landscapes, historic villages, and prehistoric dolmens.
-
E.
Enger
Enger is a small historic town in North Rhine-Westphalia, Germany, traditionally associated with the medieval County of Ravensberg and the legendary Saxon leader Widukind.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Janzen Triple: [Daniel H. Janzen, familyName, Janzen]
Generated description
Janzen is a surname most notably associated with American evolutionary ecologist Daniel H. Janzen, renowned for his work in tropical ecology and biodiversity conservation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Janzen Target entity description: Janzen is a surname most notably associated with American evolutionary ecologist Daniel H. Janzen, renowned for his work in tropical ecology and biodiversity conservation.
-
A.
Jawz
Jawz is the jaguar mascot representing Indiana University–Purdue University Indianapolis (IUPUI) at its athletic events and campus activities.
-
B.
Letzel
Letzel is a German-language surname most notably borne by Czech architect Jan Letzel, designer of Hiroshima’s iconic A-Bomb Dome.
-
C.
Zurbriggen
Zurbriggen is a Swiss surname notably associated with mountaineers and alpine skiers.
-
D.
Westerveld
Westerveld is a rural municipality in the Dutch province of Drenthe, known for its natural landscapes, historic villages, and prehistoric dolmens.
-
E.
Enger
Enger is a small historic town in North Rhine-Westphalia, Germany, traditionally associated with the medieval County of Ravensberg and the legendary Saxon leader Widukind.
- F. None of above. chosen
Provenance (5 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_69aed9585e788190bec2d39deba3750f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa5f7b308190adaad864eec98936 |
completed | March 9, 2026, 4:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54c648d3c8190a85e5cdfb20f6044 |
completed | March 14, 2026, 11:54 a.m. |
| NEDg | Description generation | batch_69b54cf3da208190aa844c9ea66354fe |
completed | March 14, 2026, 11:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b55159dc288190a63d5f5164b73bbb |
completed | March 14, 2026, 12:15 p.m. |
Created at: March 9, 2026, 3:34 p.m.