Triple
T8455657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emilie Benes Brzezinski |
E199912
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Mika Brzezinski |
E201758
|
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: Mika Brzezinski | Statement: [Emilie Benes Brzezinski, hasChild, Mika Brzezinski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mika Brzezinski Context triple: [Emilie Benes Brzezinski, hasChild, Mika Brzezinski]
-
A.
Mika Brzezinski
chosen
Mika Brzezinski is an American journalist, author, and co-host of MSNBC’s morning news and talk show "Morning Joe."
-
B.
Cokie Roberts
Cokie Roberts was an American journalist and author best known as a longtime political commentator for NPR and ABC News.
-
C.
Emilie Benes Brzezinski
Emilie Benes Brzezinski is a Czech-American sculptor known for her monumental wood sculptures and environmental installations.
-
D.
Sally Quinn
Sally Quinn is an American journalist, author, and longtime Washington Post writer known for her coverage of Washington society and politics.
-
E.
Carole Shorenstein Hays
Carole Shorenstein Hays is an American theatrical producer and former co-owner of San Francisco’s Curran Theatre, known for bringing major Broadway productions to the West Coast.
- 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_69ca8318231881908fd1bc1c4d45d286 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe48e0ae481908b40f7f124b0551e |
completed | March 31, 2026, 3:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce39caf4bc8190a1850b2124684a2a |
completed | April 2, 2026, 9:41 a.m. |
Created at: March 30, 2026, 6:10 p.m.