Triple
T18911385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | De La Noye |
E462615
|
entity |
| Predicate | hasVariantSpelling |
P457
|
FINISHED |
| Object | DeLanoy |
—
|
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: DeLanoy | Statement: [De La Noye, hasVariantSpelling, DeLanoy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DeLanoy Context triple: [De La Noye, hasVariantSpelling, DeLanoy]
-
A.
Delanoy
chosen
Delanoy is a surname that appears as a spelling variant of the French-origin name Delannoy.
-
B.
Delaney
Delaney is a surname of Irish origin commonly borne by individuals and families in English-speaking countries.
-
C.
Delap
Delap is a principal urban area and district within Majuro Atoll in the Marshall Islands, forming part of the capital’s main population and administrative center.
-
D.
Donlevy
Donlevy is a surname most notably associated with American actor Brian Donlevy, known for his roles in mid-20th-century Hollywood films.
-
E.
Webling
Webling is a surname most notably associated with Peggy Webling, the British playwright and novelist known for her early stage adaptation of Mary Shelley's "Frankenstein."
- 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_69d8dcfd05bc819088903cca13cc2846 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c6226f4081909b77aac26c574980 |
completed | April 20, 2026, 6:22 a.m. |
Created at: April 10, 2026, 11:58 a.m.