Triple
T6492136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fritz Pfeffer |
E148064
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Vera Bythiner
Vera Bythiner was the wife of German-Jewish dentist Fritz Pfeffer, who is known for hiding with Anne Frank during World War II.
|
E595437
|
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: Vera Bythiner | Statement: [Fritz Pfeffer, spouse, Vera Bythiner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vera Bythiner Context triple: [Fritz Pfeffer, spouse, Vera Bythiner]
-
A.
Vera Boldis
Vera Boldis is best known as the former wife of Dee Dee Ramone, the bassist and songwriter of the pioneering punk rock band the Ramones.
-
B.
Vera
Vera Rubin was an influential American astronomer whose pioneering work on galaxy rotation curves provided key evidence for the existence of dark matter.
-
C.
Vera
Vera is a feminine given name of Slavic origin, commonly used in Russian and other Eastern European cultures, meaning "faith."
-
D.
Vera
Vera is a memorable supporting character from the 1989 Eddie Murphy film "Harlem Nights," known for her tough, comedic persona.
-
E.
Vera Tulyakova
Vera Tulyakova was a Russian actress and translator best known as the later-life partner and muse of Turkish poet Nâzim Hikmet.
- 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: Vera Bythiner Triple: [Fritz Pfeffer, spouse, Vera Bythiner]
Generated description
Vera Bythiner was the wife of German-Jewish dentist Fritz Pfeffer, who is known for hiding with Anne Frank during World War II.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vera Bythiner Target entity description: Vera Bythiner was the wife of German-Jewish dentist Fritz Pfeffer, who is known for hiding with Anne Frank during World War II.
-
A.
Vera Boldis
Vera Boldis is best known as the former wife of Dee Dee Ramone, the bassist and songwriter of the pioneering punk rock band the Ramones.
-
B.
Vera
Vera Rubin was an influential American astronomer whose pioneering work on galaxy rotation curves provided key evidence for the existence of dark matter.
-
C.
Vera
Vera is a memorable supporting character from the 1989 Eddie Murphy film "Harlem Nights," known for her tough, comedic persona.
-
D.
Vera
Vera is a feminine given name of Slavic origin, commonly used in Russian and other Eastern European cultures, meaning "faith."
-
E.
Vera Tulyakova
Vera Tulyakova was a Russian actress and translator best known as the later-life partner and muse of Turkish poet Nâzim Hikmet.
- 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_69c009088f3081909cd467b05919de30 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a9bf9208190b0957eda06ed3d65 |
completed | March 22, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c653bf5c30819083e4e5484b2bd8cc |
completed | March 27, 2026, 9:54 a.m. |
| NEDg | Description generation | batch_69c6547160fc8190b64176073bf94cad |
completed | March 27, 2026, 9:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6553dcbe48190881c27f0ad095345 |
completed | March 27, 2026, 10 a.m. |
Created at: March 22, 2026, 4:53 p.m.