Triple
T10083516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maureen |
E213961
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Maureen Dowd |
E125691
|
NE FINISHED |
How this triple was built (2 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: Maureen Dowd | Statement: [Maureen, hasNotableBearer, Maureen Dowd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maureen Dowd Context triple: [Maureen, hasNotableBearer, Maureen Dowd]
-
A.
Maureen Dowd
chosen
Maureen Dowd is an American columnist and author best known for her sharp, often satirical political commentary in The New York Times.
-
B.
Lynn Povich
Lynn Povich is an American journalist and author best known for chronicling and participating in the landmark 1970 gender-discrimination lawsuit by female Newsweek employees that helped spark workplace equality reforms.
-
C.
Sally Quinn
Sally Quinn is an American journalist, author, and longtime Washington Post writer known for her coverage of Washington society and politics.
-
D.
Jane Mansbridge
Jane Mansbridge is a prominent American political scientist renowned for her influential work on democratic theory, representation, and feminist politics.
-
E.
Tina Brown
Tina Brown is an American magazine editor, journalist, and author best known for revitalizing publications such as Vanity Fair and The New Yorker.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca839bf730819086900c323c9b8c95 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd04352d081908f676444cd2d2578 |
completed | April 2, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b675f4b08190bd8285f210191b93 |
completed | April 5, 2026, 7:22 p.m. |
Created at: March 30, 2026, 9 p.m.