Triple
T20450521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Susan Glasser |
E501637
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Politico |
—
|
NE NERFINISHED |
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: Politico | Statement: [Susan Glasser, employer, Politico]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Politico Context triple: [Susan Glasser, employer, Politico]
-
A.
Politico
chosen
Politico is an American political journalism organization known for its in-depth coverage of U.S. politics, policy, and government.
-
B.
National Journal
National Journal is an American political journalism and policy analysis publication known for its in-depth coverage of U.S. politics, Congress, and public affairs.
-
C.
La Voce Repubblicana
La Voce Repubblicana is the historic official newspaper of Italy’s Republican Party, known for promoting republican, secular, and liberal-democratic ideas in Italian political discourse.
-
D.
Huffington
Huffington is the surname of Arianna Huffington, the Greek-American author, media entrepreneur, and co-founder of The Huffington Post.
-
E.
The Daily Beast
The Daily Beast is an American news and opinion website known for its sharp political commentary, investigative reporting, and pop culture coverage.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4ac0a1c81908845d0f8a56abce8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e68d0145d881908587b56c52aeea09 |
completed | April 20, 2026, 8:30 p.m. |
Created at: April 16, 2026, 11:32 a.m.