Triple
T9665452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilfy |
E233692
|
entity |
| Predicate | relatedName |
P3889
|
FINISHED |
| Object | Wilf |
E233691
|
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: Wilf | Statement: [Wilfy, relatedName, Wilf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wilf Context triple: [Wilfy, relatedName, Wilf]
-
A.
Wilf
chosen
Wilf is a common diminutive given name typically used as a nickname for Wilfred.
-
B.
Wilfy
Wilfy is a familiar, affectionate nickname commonly used as a diminutive form of the given name Wilfred.
-
C.
Wilbert
Wilbert is the given first name of American character actor Bill Cobbs, known for his numerous supporting roles in film and television.
-
D.
Wilfred Little
Wilfred Little was one of the children of Louise Little and a sibling of Malcolm X, belonging to the family central to the civil rights leader’s early life.
-
E.
Walter
Walter is a masculine given name of Germanic origin that has been widely used in English-speaking countries.
- 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.