Triple
T15987351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laura Webber |
E387731
|
entity |
| Predicate | familyName |
P18
|
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: [Laura Webber, familyName, Webber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Webber Context triple: [Laura Webber, familyName, 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.
Dawber
Dawber is a surname most notably associated with American actress Pam Dawber, known for her role in the television series "Mork & Mindy."
-
D.
Wilder White
Wilder White is a person notable for bearing the given name Wilder.
-
E.
Mark Webley
Mark Webley is a British video game designer and producer best known as a co-founder of Lionhead Studios and his work on influential titles like Black & White and Fable.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1575993948190a05d60fc9d0c05fa |
completed | April 16, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3cfc8d08190a02abc90c889c8e1 |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:54 a.m.