Triple
T539704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eva Braun |
E12602
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Braun
Braun is a German surname most infamously associated with Eva Braun, the longtime companion and brief wife of Adolf Hitler.
|
E67478
|
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: Braun | Statement: [Eva Braun, familyName, Braun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Braun Context triple: [Eva Braun, familyName, Braun]
-
A.
Blomberg
Blomberg is a small town in the Lippe district of North Rhine-Westphalia, Germany, known as the birthplace of former German chancellor Gerhard Schröder.
-
B.
Gillette
Gillette is a globally recognized American brand best known for its razors and shaving products.
-
C.
Dyson
Dyson is a surname most famously associated with theoretical physicist and mathematician Freeman Dyson, known for his influential work in quantum electrodynamics and futurism.
-
D.
Robart
Robart is an alternative spelling of the given name Robert, typically used as a personal or family name.
-
E.
Petit & Fritsen
Petit & Fritsen is a historic Dutch bell foundry renowned for casting church bells and carillons used in notable towers and monuments worldwide.
- 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: Braun Triple: [Eva Braun, familyName, Braun]
Generated description
Braun is a German surname most infamously associated with Eva Braun, the longtime companion and brief wife of Adolf Hitler.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Braun Target entity description: Braun is a German surname most infamously associated with Eva Braun, the longtime companion and brief wife of Adolf Hitler.
-
A.
Blomberg
Blomberg is a small town in the Lippe district of North Rhine-Westphalia, Germany, known as the birthplace of former German chancellor Gerhard Schröder.
-
B.
Gillette
Gillette is a globally recognized American brand best known for its razors and shaving products.
-
C.
Dyson
Dyson is a surname most famously associated with theoretical physicist and mathematician Freeman Dyson, known for his influential work in quantum electrodynamics and futurism.
-
D.
Robart
Robart is an alternative spelling of the given name Robert, typically used as a personal or family name.
-
E.
Petit & Fritsen
Petit & Fritsen is a historic Dutch bell foundry renowned for casting church bells and carillons used in notable towers and monuments worldwide.
- 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_69a49334226c81908b0ea1689ef6aa3f |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a496dd31c88190b3114805aa31931c |
completed | March 1, 2026, 7:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4c671eaac8190a4bc731a02a5b0e8 |
completed | March 1, 2026, 11:06 p.m. |
| NEDg | Description generation | batch_69a4c7f3279c8190b926f831f5371c2e |
completed | March 1, 2026, 11:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4c88145908190b590b7efde21677c |
completed | March 1, 2026, 11:15 p.m. |
Created at: March 1, 2026, 7:32 p.m.