Triple
T20665466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emma Louise Boynton |
E507872
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Boynton |
—
|
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: Boynton | Statement: [Emma Louise Boynton, familyName, Boynton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boynton Context triple: [Emma Louise Boynton, familyName, Boynton]
-
A.
Boynton
chosen
Boynton is the surname of Amelia Boynton Robinson, a prominent American civil rights activist and leader in the Selma voting rights movement.
-
B.
Boynton
Boynton is a small town located in Muskogee County in the U.S. state of Oklahoma.
-
C.
Boyton
Boyton is a small rural village and civil parish located in the English county of Suffolk.
-
D.
Bensonville
Bensonville is a town in Liberia that serves as the administrative center of Montserrado County.
-
E.
Auburndale
Auburndale is a residential neighborhood in the northeastern part of Queens, New York City, known for its suburban character and low-rise housing.
- 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_69e0b4c059bc81908ea762cd73ea4424 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b5c2c6d48190bbfe505cf7d973f9 |
completed | April 20, 2026, 11:24 p.m. |
Created at: April 16, 2026, 11:44 a.m.