Triple
T10615306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johann Georg Halske |
E276102
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Halske
Halske is a German surname most notably associated with Johann Georg Halske, co-founder of the electrical engineering company Siemens & Halske.
|
E873993
|
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: Halske | Statement: [Johann Georg Halske, familyName, Halske]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Halske Context triple: [Johann Georg Halske, familyName, Halske]
-
A.
Hassela
Hassela is a small rural locality in northern Sweden known for its forested landscape and nearby ski and outdoor recreation areas.
-
B.
Hemulen
Hemulen is a character from Tove Jansson’s Moomin series, typically portrayed as a tall, earnest, and somewhat pedantic creature obsessed with hobbies like stamp collecting and botany.
-
C.
Ehrwald
Ehrwald is a picturesque Austrian village in Tyrol, known as a popular alpine resort and gateway to the Zugspitze massif.
-
D.
Horki
Horki is a town in eastern Belarus known for its agricultural academy and regional administrative significance.
-
E.
Haukio
Haukio is a Finnish surname most notably borne by Jenni Haukio, a poet and the spouse of Finland’s president.
- 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: Halske Triple: [Johann Georg Halske, familyName, Halske]
Generated description
Halske is a German surname most notably associated with Johann Georg Halske, co-founder of the electrical engineering company Siemens & Halske.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Halske Target entity description: Halske is a German surname most notably associated with Johann Georg Halske, co-founder of the electrical engineering company Siemens & Halske.
-
A.
Hassela
Hassela is a small rural locality in northern Sweden known for its forested landscape and nearby ski and outdoor recreation areas.
-
B.
Hemulen
Hemulen is a character from Tove Jansson’s Moomin series, typically portrayed as a tall, earnest, and somewhat pedantic creature obsessed with hobbies like stamp collecting and botany.
-
C.
Ehrwald
Ehrwald is a picturesque Austrian village in Tyrol, known as a popular alpine resort and gateway to the Zugspitze massif.
-
D.
Horki
Horki is a town in eastern Belarus known for its agricultural academy and regional administrative significance.
-
E.
Haukio
Haukio is a Finnish surname most notably borne by Jenni Haukio, a poet and the spouse of Finland’s president.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df5da6808190bd4cb486431dc42c |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d95ecd44b08190bccbedd63544ba17 |
completed | April 10, 2026, 8:34 p.m. |
| NEDg | Description generation | batch_69d95fc0430c8190b968a651d854d041 |
completed | April 10, 2026, 8:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d9610843048190913190bf546d3df1 |
completed | April 10, 2026, 8:43 p.m. |
Created at: April 8, 2026, 7:33 p.m.