Triple
T7563308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elisha Wiesel |
E178845
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Lynn Wiesel
Lynn Wiesel is the wife of Elisha Wiesel, a technology executive and the son of Nobel laureate and Holocaust survivor Elie Wiesel.
|
E674015
|
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: Lynn Wiesel | Statement: [Elisha Wiesel, spouse, Lynn Wiesel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lynn Wiesel Context triple: [Elisha Wiesel, spouse, Lynn Wiesel]
-
A.
Jane Rosenthal
Jane Rosenthal is an American film producer and co-founder of Tribeca Productions and the Tribeca Film Festival, known for her long-time collaboration with Robert De Niro on numerous high-profile films.
-
B.
Maria Nuzberg
Maria Nuzberg was the wife of Vasily Stalin, the son of Soviet leader Joseph Stalin.
-
C.
Miriam Mendelsohn
Miriam Mendelsohn is a loyal, upbeat, and supportive best friend of Mei Lee in Pixar's animated film "Turning Red."
-
D.
Helene Shapiro
Helene Shapiro is an American mathematician known for her work in linear algebra and matrix theory, and as a student of Olga Taussky-Todd.
-
E.
Marion Wiesel
Marion Wiesel is a translator, editor, and activist best known for translating many of Elie Wiesel’s works and for her involvement in Holocaust remembrance and human rights causes.
- 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: Lynn Wiesel Triple: [Elisha Wiesel, spouse, Lynn Wiesel]
Generated description
Lynn Wiesel is the wife of Elisha Wiesel, a technology executive and the son of Nobel laureate and Holocaust survivor Elie Wiesel.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lynn Wiesel Target entity description: Lynn Wiesel is the wife of Elisha Wiesel, a technology executive and the son of Nobel laureate and Holocaust survivor Elie Wiesel.
-
A.
Jane Rosenthal
Jane Rosenthal is an American film producer and co-founder of Tribeca Productions and the Tribeca Film Festival, known for her long-time collaboration with Robert De Niro on numerous high-profile films.
-
B.
Maria Nuzberg
Maria Nuzberg was the wife of Vasily Stalin, the son of Soviet leader Joseph Stalin.
-
C.
Miriam Mendelsohn
Miriam Mendelsohn is a loyal, upbeat, and supportive best friend of Mei Lee in Pixar's animated film "Turning Red."
-
D.
Helene Shapiro
Helene Shapiro is an American mathematician known for her work in linear algebra and matrix theory, and as a student of Olga Taussky-Todd.
-
E.
Marion Wiesel
Marion Wiesel is a translator, editor, and activist best known for translating many of Elie Wiesel’s works and for her involvement in Holocaust remembrance and human rights causes.
- 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_69c69f2f80288190b95cceb4da92ab2b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8fb1c00819096bdb73334d8d72e |
completed | March 27, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c856d8206081909987556fb6ab7084 |
completed | March 28, 2026, 10:31 p.m. |
| NEDg | Description generation | batch_69c85918e70481908502cb86a31edc14 |
completed | March 28, 2026, 10:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c85982256081908263d5f25c6e99b5 |
completed | March 28, 2026, 10:43 p.m. |
Created at: March 27, 2026, 3:50 p.m.