Triple
T15629069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilver Dornell Stargell |
E375760
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Wilver |
E375760
|
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: Wilver | Statement: [Wilver Dornell Stargell, givenName, Wilver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wilver Context triple: [Wilver Dornell Stargell, givenName, Wilver]
-
A.
Wilver
chosen
Wilver is the given first name of Baseball Hall of Famer Willie Stargell, the legendary power-hitting outfielder and first baseman for the Pittsburgh Pirates.
-
B.
Wille
Wille is the given name of Finnish politician Wille Rydman, known for his roles in national politics.
-
C.
Silberling
Silberling is a surname most notably associated with American film and television director Brad Silberling.
-
D.
Garwolin
Garwolin is a town in eastern Poland, located in the Masovian Voivodeship southeast of Warsaw.
-
E.
Willerd
Willerd is a less common variant spelling of the given name Willard, typically used as a masculine first name.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04eb4301881908c7157227fdf79b6 |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f43191c81908c5704314a002608 |
completed | May 9, 2026, 4:22 p.m. |
Created at: April 10, 2026, 4:14 a.m.