Triple
T9752091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erik von Detten |
E236464
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Angela von Detten
Angela von Detten is the wife of American actor Erik von Detten, known publicly primarily through her marriage to him and their family life.
|
E818883
|
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: Angela von Detten | Statement: [Erik von Detten, spouse, Angela von Detten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angela von Detten Context triple: [Erik von Detten, spouse, Angela von Detten]
-
A.
Angela Winkler
Angela Winkler is a German actress acclaimed for her powerful performances in film, television, and theater since the 1970s.
-
B.
Angelica Schmitz
Angelica Schmitz was the wife of Ukrainian-American avant-garde sculptor Alexander Archipenko, associated with his personal and artistic life.
-
C.
Erika Grünlich
Erika Grünlich is a fictional character in Thomas Mann's novel "Buddenbrooks," known as the daughter of Tony Buddenbrook and a member of the declining Lübeck merchant family.
-
D.
Anja Tschimiakin
Anja Tschimiakin was the first wife of Russian abstract art pioneer Wassily Kandinsky.
-
E.
Angela Wendt
Angela Wendt is a costume designer best known for creating the original costumes for the landmark Broadway musical "Rent."
- 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: Angela von Detten Triple: [Erik von Detten, spouse, Angela von Detten]
Generated description
Angela von Detten is the wife of American actor Erik von Detten, known publicly primarily through her marriage to him and their family life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Angela von Detten Target entity description: Angela von Detten is the wife of American actor Erik von Detten, known publicly primarily through her marriage to him and their family life.
-
A.
Angela Winkler
Angela Winkler is a German actress acclaimed for her powerful performances in film, television, and theater since the 1970s.
-
B.
Angelica Schmitz
Angelica Schmitz was the wife of Ukrainian-American avant-garde sculptor Alexander Archipenko, associated with his personal and artistic life.
-
C.
Erika Grünlich
Erika Grünlich is a fictional character in Thomas Mann's novel "Buddenbrooks," known as the daughter of Tony Buddenbrook and a member of the declining Lübeck merchant family.
-
D.
Anja Tschimiakin
Anja Tschimiakin was the first wife of Russian abstract art pioneer Wassily Kandinsky.
-
E.
Angela Wendt
Angela Wendt is a costume designer best known for creating the original costumes for the landmark Broadway musical "Rent."
- 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_69ca84d4eddc8190996fec1417d2bae8 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9facd5b881909f0569b23f308815 |
completed | April 1, 2026, 10:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1b0288b808190821287a2cc54025d |
completed | April 5, 2026, 12:43 a.m. |
| NEDg | Description generation | batch_69d1b243b2d48190b4e57871dca3f38f |
completed | April 5, 2026, 12:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1b2e335e48190b8d45097fd686c55 |
completed | April 5, 2026, 12:54 a.m. |
Created at: March 30, 2026, 8:24 p.m.