Triple
T9665451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilfy |
E233692
|
entity |
| Predicate | spellingVariantOf |
P457
|
FINISHED |
| Object | Wilfie |
E108645
|
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: Wilfie | Statement: [Wilfy, spellingVariantOf, Wilfie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wilfie Context triple: [Wilfy, spellingVariantOf, Wilfie]
-
A.
Wiarton Willie
Wiarton Willie is a famous Canadian groundhog celebrated for his annual Groundhog Day weather prediction festival in Wiarton, Ontario.
-
B.
Fiete
Fiete is a German diminutive form of the given name Friedrich, commonly used as a familiar or regional nickname.
-
C.
Willi
chosen
Willi is a given name, typically a variant of Willy or William, used in various European countries.
-
D.
Wilbert
Wilbert is the given first name of American character actor Bill Cobbs, known for his numerous supporting roles in film and television.
-
E.
Winky
Winky is a house-elf from the Harry Potter series, known for her loyalty, tragic fall from grace, and eventual employment at Hogwarts.
- 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_69ca848d3b6c8190ae98ea554dea58df |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9c38f65c8190a0ed20830249a0f1 |
completed | April 1, 2026, 10:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18a1c8b188190bcff470244b21640 |
completed | April 4, 2026, 10:01 p.m. |
Created at: March 30, 2026, 8:14 p.m.