Triple
T16072742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marcus Goldman |
E389902
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Bertha Goldman
Bertha Goldman was the wife of Marcus Goldman, the founder of the financial firm that became Goldman Sachs.
|
E1192463
|
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: Bertha Goldman | Statement: [Marcus Goldman, spouse, Bertha Goldman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bertha Goldman Context triple: [Marcus Goldman, spouse, Bertha Goldman]
-
A.
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.
-
B.
Edna Fischel
Edna Fischel was an American suffragist and civic leader known for her prominent role in the women’s voting rights movement in the early 20th century.
-
C.
Ruth Schiff
Ruth Schiff is a notable individual who shares the surname Schiff, recognized enough to be specifically cited as a bearer of the name.
-
D.
Irene Lewisohn
Irene Lewisohn was an American arts patron and educator who played a key role in developing early 20th-century theater and dance training in New York City.
-
E.
Edith Weiss
Edith Weiss is a notable individual recognized for bearing the surname Weiss, though specific widely known biographical or professional details about her are not well documented.
- 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: Bertha Goldman Triple: [Marcus Goldman, spouse, Bertha Goldman]
Generated description
Bertha Goldman was the wife of Marcus Goldman, the founder of the financial firm that became Goldman Sachs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bertha Goldman Target entity description: Bertha Goldman was the wife of Marcus Goldman, the founder of the financial firm that became Goldman Sachs.
-
A.
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.
-
B.
Edna Fischel
Edna Fischel was an American suffragist and civic leader known for her prominent role in the women’s voting rights movement in the early 20th century.
-
C.
Ruth Schiff
Ruth Schiff is a notable individual who shares the surname Schiff, recognized enough to be specifically cited as a bearer of the name.
-
D.
Irene Lewisohn
Irene Lewisohn was an American arts patron and educator who played a key role in developing early 20th-century theater and dance training in New York City.
-
E.
Edith Weiss
Edith Weiss is a notable individual recognized for bearing the surname Weiss, though specific widely known biographical or professional details about her are not well documented.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e183bf6c488190b0099a00f13f2a69 |
completed | April 17, 2026, 12:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe484cef08190a3797c91a7025081 |
completed | May 10, 2026, 1:51 a.m. |
| NEDg | Description generation | batch_69ffe67043588190864864d40956682b |
completed | May 10, 2026, 1:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffe6f510cc8190b6b8c46c0356d36a |
completed | May 10, 2026, 2:01 a.m. |
Created at: April 10, 2026, 4:57 a.m.