Triple
T10458335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wayne |
E246604
|
entity |
| Predicate | hasVariantSpelling |
P457
|
FINISHED |
| Object | W-a-y-n-e |
E246604
|
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: W-a-y-n-e | Statement: [Wayne, hasVariantSpelling, W-a-y-n-e]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: W-a-y-n-e Context triple: [Wayne, hasVariantSpelling, W-a-y-n-e]
-
A.
W-a-y-n-e
chosen
W-a-y-n-e is a given name, typically a masculine first name or surname of English origin.
-
B.
Mavis Leno
Mavis Leno is an American feminist and philanthropist known for her long-time activism, particularly in advocating for women's rights in Afghanistan.
-
C.
Joy Bryant
Joy Bryant is an American actress and former fashion model best known for her role as Jasmine Trussell on the television series "Parenthood."
-
D.
Roseanne Barr
Roseanne Barr is an American comedian, actress, writer, and television producer best known for creating and starring in the groundbreaking sitcom "Roseanne."
-
E.
Betty DeGeneres
Betty DeGeneres is an American LGBTQ+ rights advocate and author best known as the mother of comedian and television host Ellen DeGeneres.
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fe4a56e08190ab56d762d6a91b01 |
completed | April 7, 2026, 12:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87f182cb481909f838d6d1dfa7e79 |
completed | April 10, 2026, 4:39 a.m. |
Created at: April 6, 2026, 12:18 p.m.