Triple
T18576561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benenson |
E454001
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Miriam Benenson
Miriam Benenson is a notable individual associated with the Benenson family name, recognized as a distinguished bearer of that surname.
|
E1356785
|
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: Miriam Benenson | Statement: [Benenson, hasNotableBearer, Miriam Benenson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miriam Benenson Context triple: [Benenson, hasNotableBearer, Miriam Benenson]
-
A.
Miriam Avissar
Miriam Avissar is an Israeli archaeologist known for directing the excavation that uncovered the renowned Lod Mosaic.
-
B.
Miriam Fried
Miriam Fried is an acclaimed Israeli-American violinist renowned for her solo performances, chamber music collaborations, and influential teaching career.
-
C.
Miriam Palatnik
Miriam Palatnik is the mother of Brazilian kinetic and optical art pioneer Abraham Palatnik.
-
D.
Miriam Bienstock
Miriam Bienstock was an American music industry executive and co-founder of Atlantic Records who played a key role in shaping the label’s early business operations and success.
-
E.
Miriam Weinstein
Miriam Weinstein is the mother of film producer Harvey Weinstein, whose first name inspired the name of the film company Miramax.
- 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: Miriam Benenson Triple: [Benenson, hasNotableBearer, Miriam Benenson]
Generated description
Miriam Benenson is a notable individual associated with the Benenson family name, recognized as a distinguished bearer of that surname.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Miriam Benenson Target entity description: Miriam Benenson is a notable individual associated with the Benenson family name, recognized as a distinguished bearer of that surname.
-
A.
Miriam Avissar
Miriam Avissar is an Israeli archaeologist known for directing the excavation that uncovered the renowned Lod Mosaic.
-
B.
Miriam Fried
Miriam Fried is an acclaimed Israeli-American violinist renowned for her solo performances, chamber music collaborations, and influential teaching career.
-
C.
Miriam Palatnik
Miriam Palatnik is the mother of Brazilian kinetic and optical art pioneer Abraham Palatnik.
-
D.
Miriam Bienstock
Miriam Bienstock was an American music industry executive and co-founder of Atlantic Records who played a key role in shaping the label’s early business operations and success.
-
E.
Miriam Weinstein
Miriam Weinstein is the mother of film producer Harvey Weinstein, whose first name inspired the name of the film company Miramax.
- 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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e543cc94f081909b76c3d488ed5637 |
completed | April 19, 2026, 9:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05d341d3c0819083bcdf884aa63953 |
completed | May 14, 2026, 1:50 p.m. |
| NEDg | Description generation | batch_6a05d3fe45c881908622e745b66abfd2 |
completed | May 14, 2026, 1:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05d4b2292c8190bd4cd73969c610d8 |
completed | May 14, 2026, 1:57 p.m. |
Created at: April 10, 2026, 11:43 a.m.