Triple
T3135307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edmund Nelson |
E65512
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Maurice Nelson |
E336038
|
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: Maurice Nelson | Statement: [Edmund Nelson, hasChild, Maurice Nelson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maurice Nelson Context triple: [Edmund Nelson, hasChild, Maurice Nelson]
-
A.
Maurice Nelson
chosen
Maurice Nelson is the son of Edmund Nelson, a clergyman best known as the father of British naval hero Horatio Nelson.
-
B.
Maurice Moore
Maurice Moore was a colonial-era figure known for establishing the settlement that became Brunswick Town in what is now North Carolina.
-
C.
Louis Nelson
Louis Nelson is an American graphic designer best known for creating the powerful visual narrative elements of the Korean War Veterans Memorial in Washington, D.C.
-
D.
Leonard Nelson
Leonard Nelson was a German philosopher and mathematician known for reviving and developing the neo-Friesian school of critical philosophy in the early 20th century.
-
E.
Murray Douglass
Murray Douglass is the family name of Anna Murray Douglass, the abolitionist and first wife of Frederick Douglass.
- 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_69ad8581c25c8190b0d85ba9b9baa531 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada5637de0819089393429c4017298 |
completed | March 8, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b261f805b0819089bf8a94c331faf1 |
completed | March 12, 2026, 6:49 a.m. |
Created at: March 8, 2026, 3:05 p.m.