Triple
T4085466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Klarman family |
E87578
|
entity |
| Predicate | notableMember |
P10
|
FINISHED |
| Object |
Beth Klarman
Beth Klarman is a member of the prominent Klarman family, known for its significant business success and philanthropic activities.
|
E410605
|
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: Beth Klarman | Statement: [Klarman family, notableMember, Beth Klarman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beth Klarman Context triple: [Klarman family, notableMember, Beth Klarman]
-
A.
Betsy Gotbaum
Betsy Gotbaum is an American public official and politician who served as New York City's Public Advocate in the early 2000s, acting as a citywide watchdog and ombudsman.
-
B.
Rose Schlossberg
Rose Schlossberg is an American actress, comedian, and web series creator, and the eldest grandchild of former U.S. President John F. Kennedy.
-
C.
Margo Winkler
Margo Winkler is an American actress known for her frequent small roles in films produced or directed by her husband, filmmaker Irwin Winkler.
-
D.
Laurie Cahn
Laurie Cahn is a child of the famed American songwriter and lyricist Sammy Cahn.
-
E.
Gail Katz
Gail Katz is an American film and television producer known for working on major Hollywood projects including the disaster drama "The Perfect Storm."
- 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: Beth Klarman Triple: [Klarman family, notableMember, Beth Klarman]
Generated description
Beth Klarman is a member of the prominent Klarman family, known for its significant business success and philanthropic activities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beth Klarman Target entity description: Beth Klarman is a member of the prominent Klarman family, known for its significant business success and philanthropic activities.
-
A.
Betsy Gotbaum
Betsy Gotbaum is an American public official and politician who served as New York City's Public Advocate in the early 2000s, acting as a citywide watchdog and ombudsman.
-
B.
Rose Schlossberg
Rose Schlossberg is an American actress, comedian, and web series creator, and the eldest grandchild of former U.S. President John F. Kennedy.
-
C.
Margo Winkler
Margo Winkler is an American actress known for her frequent small roles in films produced or directed by her husband, filmmaker Irwin Winkler.
-
D.
Laurie Cahn
Laurie Cahn is a child of the famed American songwriter and lyricist Sammy Cahn.
-
E.
Gail Katz
Gail Katz is an American film and television producer known for working on major Hollywood projects including the disaster drama "The Perfect Storm."
- 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_69aed9435cf48190ad1da737c962d19d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefc7b7cc4819089cfbf2b1c23ccc5 |
completed | March 9, 2026, 4:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b562ca4b688190923792adc33ea421 |
completed | March 14, 2026, 1:29 p.m. |
| NEDg | Description generation | batch_69b5637e72948190989169b0a46916a8 |
completed | March 14, 2026, 1:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b563fc4cb081908ba0f1a799338a8c |
completed | March 14, 2026, 1:34 p.m. |
Created at: March 9, 2026, 3:39 p.m.