Triple
T5594161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crowell |
E146952
|
entity |
| Predicate | hasSpellingVariant |
P457
|
FINISHED |
| Object | Crowelll |
E146952
|
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: Crowelll | Statement: [Crowell, hasSpellingVariant, Crowelll]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crowelll Context triple: [Crowell, hasSpellingVariant, Crowelll]
-
A.
Crowell
chosen
Crowell is a surname of English origin that is a variant of the name Crowe.
-
B.
Eldridge
Eldridge is an English-language surname of Old English origin, borne by various notable individuals across fields such as politics, the arts, and sports.
-
C.
Blakely
Blakely is a given name and surname of English origin that has become popular as a modern unisex first name.
-
D.
Cowgill
Cowgill is a small rural settlement in the Yorkshire Dales, known for its scenic landscape and traditional stone-built houses.
-
E.
McCauley
McCauley is the maiden surname of Rosa Parks, the prominent American civil rights activist known for her pivotal role in the Montgomery bus boycott.
- 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_69c009036c408190981a8d690b679b67 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020bc41408190bc990da8ddeb931e |
completed | March 22, 2026, 5:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0bf5e1fcc8190b9ab67a9cc9e1be0 |
completed | March 23, 2026, 4:19 a.m. |
Created at: March 22, 2026, 3:38 p.m.