Triple
T6750235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weber |
E154323
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Webber |
E298917
|
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: Webber | Statement: [Weber, hasVariant, Webber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Webber Context triple: [Weber, hasVariant, Webber]
-
A.
Webber
chosen
Webber is a surname most notably associated with figures such as British composer Andrew Lloyd Webber and various other individuals across arts, sports, and public life.
-
B.
John Webber
John Webber was an 18th-century Swiss-born British artist best known as the official draughtsman on Captain James Cook’s third Pacific voyage, where he produced many influential landscapes and ethnographic illustrations.
-
C.
Wiatt
Wiatt is a given name that functions as a less common spelling variant of the name Wyatt.
-
D.
J. J. Webster
J. J. Webster was an architect and engineer known for his work on major early 20th-century British sports and exhibition venues.
-
E.
Wuhl
Wuhl is the surname of American actor, comedian, and writer Robert Wuhl, known for his roles in films like "Bull Durham" and the TV series "Arliss."
- 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_69c6880ef37881909268a5a7299b9293 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d1da32108190882949aa329d2b60 |
completed | March 27, 2026, 6:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70b1a0d7481908a813fa5c2e1ba6e |
completed | March 27, 2026, 10:56 p.m. |
Created at: March 27, 2026, 2:11 p.m.