Triple
T9665453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilfy |
E233692
|
entity |
| Predicate | relatedName |
P3889
|
FINISHED |
| Object | Wil |
E42579
|
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: Wil | Statement: [Wilfy, relatedName, Wil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wil Context triple: [Wilfy, relatedName, Wil]
-
A.
Wil
chosen
Wil is a common shortened form of the given name Willem, often used as an informal or familiar nickname.
-
B.
WIL
WIL is the standard abbreviation used for the Wilmington Blue Rocks minor league baseball team.
-
C.
WIL
WIL is the IATA airport code for Wilson Airport, a busy domestic and regional airport serving Nairobi, Kenya.
-
D.
Wilkin
Wilkin is a medieval English given name that originated as a diminutive form of William and later gave rise to the surname Wilkinson.
-
E.
Wik
Wik refers to a group of closely related Aboriginal Australian peoples and their traditional languages from western Cape York Peninsula in Queensland.
- 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.