Triple
T4639833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Myrlie Evers |
E101624
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Evers |
E101623
|
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: Evers | Statement: [Myrlie Evers, familyName, Evers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Evers Context triple: [Myrlie Evers, familyName, Evers]
-
A.
Evers
chosen
Evers is the surname of Medgar Evers, the prominent American civil rights activist assassinated in 1963 for his work challenging racial segregation and discrimination.
-
B.
Dirksen
Dirksen is a surname most notably associated with Everett Dirksen, a prominent mid-20th-century American politician and U.S. Senate Minority Leader.
-
C.
Harrison Kohl
Harrison Kohl was an architect known for designing the U.S. Embassy building in Berlin.
-
D.
Brian Whitmer
Brian Whitmer is a technology entrepreneur best known as a co-founder of Instructure, the company behind the Canvas learning management system.
-
E.
Maddison
Maddison is a given name and surname, often used as a variant spelling of Madison.
- 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_69bd43d3bc7c81908f81fcf380476b0f |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a8e0ee88190becab97d2ef1571a |
completed | March 20, 2026, 2:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfacf3cb08190a080e5ed1063902f |
completed | March 21, 2026, 1:56 a.m. |
Created at: March 20, 2026, 1:14 p.m.