Triple
T14666385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Nelson |
E344386
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Nelson |
E1145
|
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: Nelson | Statement: [William Nelson, familyName, Nelson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nelson Context triple: [William Nelson, familyName, Nelson]
-
A.
Nelson
chosen
Nelson is a common English-language surname borne by numerous notable figures across politics, sports, entertainment, and academia.
-
B.
Nelson
Nelson is a former mill town in Lancashire, England, known for its industrial heritage and location near the Pennine hills.
-
C.
Nelson
Nelson is a coastal city at the top of New Zealand’s South Island, known for its arts scene, sunny climate, and access to nearby national parks.
-
D.
Nelson
Nelson is an American rock band formed by twin brothers Matthew and Gunnar Nelson, known for their melodic hard rock sound and early-1990s chart success.
-
E.
Nelson
Nelson is an American rock band formed by twin brothers Matthew and Gunnar Nelson, known for their melodic hard rock and pop metal hits in the early 1990s.
- 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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb54c69f8819080a37161deecfba8 |
completed | April 14, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5c57fa4819086912bdd2bda8b80 |
completed | May 8, 2026, 12:23 p.m. |
Created at: April 10, 2026, 1:27 a.m.