Triple
T21168457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Hollaz |
E521631
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Hollaz
Hollaz is a German surname most notably associated with the Lutheran theologian David Hollaz.
|
E1469810
|
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: Hollaz | Statement: [David Hollaz, familyName, Hollaz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hollaz Context triple: [David Hollaz, familyName, Hollaz]
-
A.
Halanzy
Halanzy is a village in the municipality of Aubange in the province of Luxembourg, Belgium.
-
B.
Houffalize
Houffalize is a small town in the Belgian Ardennes known for its World War II history, outdoor tourism, and scenic natural surroundings.
-
C.
Hagenborgh
Hagenborgh is a notable landmark building in the Dutch city of Almelo, recognized for its prominent role in the local urban landscape.
-
D.
Hottviller
Hottviller is a small commune in northeastern France, situated in the Moselle department within the historically contested region of Lorraine.
-
E.
Hassela
Hassela is a small rural locality in northern Sweden known for its forested landscape and nearby ski and outdoor recreation areas.
- 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: Hollaz Triple: [David Hollaz, familyName, Hollaz]
Generated description
Hollaz is a German surname most notably associated with the Lutheran theologian David Hollaz.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hollaz Target entity description: Hollaz is a German surname most notably associated with the Lutheran theologian David Hollaz.
-
A.
Halanzy
Halanzy is a village in the municipality of Aubange in the province of Luxembourg, Belgium.
-
B.
Houffalize
Houffalize is a small town in the Belgian Ardennes known for its World War II history, outdoor tourism, and scenic natural surroundings.
-
C.
Hagenborgh
Hagenborgh is a notable landmark building in the Dutch city of Almelo, recognized for its prominent role in the local urban landscape.
-
D.
Hottviller
Hottviller is a small commune in northeastern France, situated in the Moselle department within the historically contested region of Lorraine.
-
E.
Hassela
Hassela is a small rural locality in northern Sweden known for its forested landscape and nearby ski and outdoor recreation areas.
- 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_69e0b50e30748190b186824a206d39b9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72710c73881908d41aedff8984da9 |
completed | April 21, 2026, 7:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0975716e78819095e4ba54fbf78809 |
completed | May 17, 2026, 7:59 a.m. |
| NEDg | Description generation | batch_6a09761477c481909c1c6e557a265360 |
completed | May 17, 2026, 8:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09768230a481908cc04374ed49f34d |
completed | May 17, 2026, 8:04 a.m. |
Created at: April 16, 2026, 3 p.m.