Triple
T14991723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brenner |
E373850
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Marie Brenner
Marie Brenner is an American journalist, author, and longtime Vanity Fair writer known for her investigative reporting and narrative nonfiction.
|
E1132343
|
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: Marie Brenner | Statement: [Brenner, hasNotableBearer, Marie Brenner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marie Brenner Context triple: [Brenner, hasNotableBearer, Marie Brenner]
-
A.
Marie Meyer
Marie Meyer was the wife of the prominent German historian Eduard Meyer.
-
B.
Marcella Brenner
Marcella Brenner was an American arts educator and philanthropist known for her support of the arts and her connection to the Washington, D.C. cultural community.
-
C.
Lucie Brasch
Lucie Brasch was the mother of renowned British painter Lucian Freud and a member of the prominent Freud family.
-
D.
Martha Hagen
Martha Hagen is known as the wife of American comedian, actor, and writer Michael Ian Black.
-
E.
Marie Goesler
Marie Goesler is a central fictional character in Anthony Trollope’s political novel series "The Pallisers," known for her intelligence, independence, and complex romantic and social entanglements within high society.
- 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: Marie Brenner Triple: [Brenner, hasNotableBearer, Marie Brenner]
Generated description
Marie Brenner is an American journalist, author, and longtime Vanity Fair writer known for her investigative reporting and narrative nonfiction.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marie Brenner Target entity description: Marie Brenner is an American journalist, author, and longtime Vanity Fair writer known for her investigative reporting and narrative nonfiction.
-
A.
Marie Meyer
Marie Meyer was the wife of the prominent German historian Eduard Meyer.
-
B.
Marcella Brenner
Marcella Brenner was an American arts educator and philanthropist known for her support of the arts and her connection to the Washington, D.C. cultural community.
-
C.
Lucie Brasch
Lucie Brasch was the mother of renowned British painter Lucian Freud and a member of the prominent Freud family.
-
D.
Martha Hagen
Martha Hagen is known as the wife of American comedian, actor, and writer Michael Ian Black.
-
E.
Marie Goesler
Marie Goesler is a central fictional character in Anthony Trollope’s political novel series "The Pallisers," known for her intelligence, independence, and complex romantic and social entanglements within high society.
- 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded715db408190b44e8a8452c79764 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe969842848190a030db797c851fed |
completed | May 9, 2026, 2:06 a.m. |
| NEDg | Description generation | batch_69fe983820f88190843361b0ac391d38 |
completed | May 9, 2026, 2:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe98b18ab48190b2a47418904e6643 |
completed | May 9, 2026, 2:15 a.m. |
Created at: April 10, 2026, 2:53 a.m.