Triple
T14189922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marc Mezvinsky |
E351684
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object |
Marjorie Margolies
Marjorie Margolies is an American journalist, author, and former U.S. Congresswoman from Pennsylvania.
|
E1173188
|
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: Marjorie Margolies | Statement: [Marc Mezvinsky, mother, Marjorie Margolies]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marjorie Margolies Context triple: [Marc Mezvinsky, mother, Marjorie Margolies]
-
A.
Janet Margolin
Janet Margolin was an American film and television actress best known for her roles in movies such as "David and Lisa" and Woody Allen's "Annie Hall."
-
B.
Marjorie Fried
Marjorie Fried was the wife of Nobel Prize–winning geneticist George W. Beadle.
-
C.
Barbara Siegel
Barbara Siegel is an American author best known for co-writing numerous science fiction and fantasy novels and game-related books, often in collaboration with her husband Scott Siegel.
-
D.
Helen Fleischman
Helen Fleischman was the American wife of Giorgio Joyce, son of the Irish writer James Joyce, and a figure on the periphery of the modernist literary circle surrounding the Joyce family.
-
E.
Evelyn Meltzer
Evelyn Meltzer is an individual notable enough to be recognized as a prominent bearer of the surname Meltzer.
- 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: Marjorie Margolies Triple: [Marc Mezvinsky, mother, Marjorie Margolies]
Generated description
Marjorie Margolies is an American journalist, author, and former U.S. Congresswoman from Pennsylvania.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marjorie Margolies Target entity description: Marjorie Margolies is an American journalist, author, and former U.S. Congresswoman from Pennsylvania.
-
A.
Janet Margolin
Janet Margolin was an American film and television actress best known for her roles in movies such as "David and Lisa" and Woody Allen's "Annie Hall."
-
B.
Marjorie Fried
Marjorie Fried was the wife of Nobel Prize–winning geneticist George W. Beadle.
-
C.
Barbara Siegel
Barbara Siegel is an American author best known for co-writing numerous science fiction and fantasy novels and game-related books, often in collaboration with her husband Scott Siegel.
-
D.
Helen Fleischman
Helen Fleischman was the American wife of Giorgio Joyce, son of the Irish writer James Joyce, and a figure on the periphery of the modernist literary circle surrounding the Joyce family.
-
E.
Evelyn Meltzer
Evelyn Meltzer is an individual notable enough to be recognized as a prominent bearer of the surname Meltzer.
- 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61df628c8190ba3f557e2128dce5 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff82dcec0c8190a5e4ac0aafd34504 |
completed | May 9, 2026, 6:54 p.m. |
| NEDg | Description generation | batch_69ff83593f9c8190a5eccb8cde49345c |
completed | May 9, 2026, 6:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff83bbdfa48190b992210f8d38f3fb |
completed | May 9, 2026, 6:58 p.m. |
Created at: April 10, 2026, 1:03 a.m.