Triple
T3706964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gottlieb Daimler |
E80915
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Emma Kunz
Emma Kunz was the wife of German engineer and automobile pioneer Gottlieb Daimler.
|
E389238
|
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: Emma Kunz | Statement: [Gottlieb Daimler, spouse, Emma Kunz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emma Kunz Context triple: [Gottlieb Daimler, spouse, Emma Kunz]
-
A.
Emma Kunz
Emma Kunz was a Swiss healer, researcher, and artist known for her geometric drawings and work with natural remedies, particularly the healing rock AION A.
-
B.
Fanny Koch
Fanny Koch was the mother of Elsa Einstein, making her the maternal grandmother of physicist Albert Einstein.
-
C.
Anna Adlischweiler
Anna Adlischweiler was the wife of Swiss Reformer Heinrich Bullinger and is noted primarily for her role within the early Reformation-era clerical household.
-
D.
Anne Taschenmacher
Anne Taschenmacher is a German woman known primarily for having been married to former German Chancellor Gerhard Schröder.
-
E.
Mathilde "Quappi" von Kaulbach
Mathilde "Quappi" von Kaulbach was a German painter and the second wife and frequent model of expressionist artist Max Beckmann.
- 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: Emma Kunz Triple: [Gottlieb Daimler, spouse, Emma Kunz]
Generated description
Emma Kunz was the wife of German engineer and automobile pioneer Gottlieb Daimler.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Emma Kunz Target entity description: Emma Kunz was the wife of German engineer and automobile pioneer Gottlieb Daimler.
-
A.
Emma Kunz
Emma Kunz was a Swiss healer, researcher, and artist known for her geometric drawings and work with natural remedies, particularly the healing rock AION A.
-
B.
Fanny Koch
Fanny Koch was the mother of Elsa Einstein, making her the maternal grandmother of physicist Albert Einstein.
-
C.
Anna Adlischweiler
Anna Adlischweiler was the wife of Swiss Reformer Heinrich Bullinger and is noted primarily for her role within the early Reformation-era clerical household.
-
D.
Anne Taschenmacher
Anne Taschenmacher is a German woman known primarily for having been married to former German Chancellor Gerhard Schröder.
-
E.
Mathilde "Quappi" von Kaulbach
Mathilde "Quappi" von Kaulbach was a German painter and the second wife and frequent model of expressionist artist Max Beckmann.
- 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_69ad8b1793888190a5f70e4b21dc05a1 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adc57edd748190a006e15fa0248679 |
completed | March 8, 2026, 6:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4f024962881908b5fe52f594a5d03 |
completed | March 14, 2026, 5:20 a.m. |
| NEDg | Description generation | batch_69b4f41c63788190a6b8b6a71d49b5ac |
completed | March 14, 2026, 5:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4f4b218a08190802079fff249deb6 |
completed | March 14, 2026, 5:40 a.m. |
Created at: March 8, 2026, 3:33 p.m.