Triple
T12977771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martin Julian Buerger |
E321573
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Buerger
Buerger is a surname most notably associated with Martin Julian Buerger, an influential American crystallographer and mineralogist.
|
E1012488
|
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: Buerger | Statement: [Martin Julian Buerger, familyName, Buerger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buerger Context triple: [Martin Julian Buerger, familyName, Buerger]
-
A.
Bonger
Bonger is a Dutch surname most notably associated with Johanna van Gogh-Bonger, the key figure in preserving and promoting Vincent van Gogh’s artistic legacy.
-
B.
Brunner
Brunner is a surname of German origin borne by various notable individuals across fields such as sports, politics, and the arts.
-
C.
Neebe
Neebe is a surname most notably associated with Oscar Neebe, an American labor activist and one of the defendants in the 1886 Haymarket affair.
-
D.
Brenner
Brenner is a surname of German origin borne by various notable individuals across fields such as science, politics, and the arts.
-
E.
Flaugher
Flaugher is a relatively uncommon surname of likely English or Scottish origin.
- 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: Buerger Triple: [Martin Julian Buerger, familyName, Buerger]
Generated description
Buerger is a surname most notably associated with Martin Julian Buerger, an influential American crystallographer and mineralogist.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Buerger Target entity description: Buerger is a surname most notably associated with Martin Julian Buerger, an influential American crystallographer and mineralogist.
-
A.
Bonger
Bonger is a Dutch surname most notably associated with Johanna van Gogh-Bonger, the key figure in preserving and promoting Vincent van Gogh’s artistic legacy.
-
B.
Brunner
Brunner is a surname of German origin borne by various notable individuals across fields such as sports, politics, and the arts.
-
C.
Neebe
Neebe is a surname most notably associated with Oscar Neebe, an American labor activist and one of the defendants in the 1886 Haymarket affair.
-
D.
Brenner
Brenner is a surname of German origin borne by various notable individuals across fields such as science, politics, and the arts.
-
E.
Flaugher
Flaugher is a relatively uncommon surname of likely English or Scottish origin.
- 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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e59a4c88190907d05b8d57dae89 |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8f0315c8190aae5908ba65d5867 |
completed | May 3, 2026, 2:54 a.m. |
| NEDg | Description generation | batch_69f6b9dc31ec819093c89ff0a1ccbfa1 |
completed | May 3, 2026, 2:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6baacd7548190af5514923a0dee26 |
completed | May 3, 2026, 3:02 a.m. |
Created at: April 9, 2026, 8:38 p.m.