Triple
T20805804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ernest Nathan Morial |
E512150
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Morial |
—
|
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: Morial | Statement: [Ernest Nathan Morial, familyName, Morial]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morial Context triple: [Ernest Nathan Morial, familyName, Morial]
-
A.
Delanoë
Delanoë is the surname of Bertrand Delanoë, a French politician best known for serving as the mayor of Paris from 2001 to 2014.
-
B.
Marc H. Morial
chosen
Marc H. Morial is an American civil rights leader, lawyer, and former mayor of New Orleans who has served as president and CEO of the National Urban League.
-
C.
Lamont Johnson
Lamont Johnson was an American film and television director and actor known for his acclaimed work on socially conscious TV movies and dramas.
-
D.
Le Maire
Le Maire is a French surname most prominently associated with Bruno Le Maire, a leading French politician and Minister of the Economy and Finance.
-
E.
John Legere
John Legere is an American businessman best known as the outspoken former CEO of T-Mobile US, where he led the disruptive "Un-carrier" strategy that reshaped the U.S. wireless industry.
- 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_69e0b4cc69f481908e98751e697b9df4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2cf1cbc819092d92625dfb107d0 |
completed | April 21, 2026, 12:20 a.m. |
Created at: April 16, 2026, 12:40 p.m.