Triple
T21247833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sylvia Weis |
E523661
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object | Weis |
—
|
NE NERFINISHED |
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: Weis | Statement: [Sylvia Weis, hasFamilyName, Weis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weis Context triple: [Sylvia Weis, hasFamilyName, Weis]
-
A.
Weis
chosen
Weis is a surname most prominently associated with Charlie Weis, an American football coach known for his tenure with the Notre Dame Fighting Irish and in the NFL.
-
B.
Weisweil
Weisweil is a small municipality in the Waldshut district of the state of Baden-Württemberg in southwestern Germany.
-
C.
Weismes
Weismes is a municipality and village in the German-speaking region of eastern Belgium, known for its location in the hilly Eifel area near the High Fens nature reserve.
-
D.
Webling
Webling is a surname most notably associated with Peggy Webling, the British playwright and novelist known for her early stage adaptation of Mary Shelley's "Frankenstein."
-
E.
Bramble
Bramble is a modern classic gin-based cocktail typically made with lemon juice, sugar syrup, and blackberry liqueur, served over crushed ice.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b5146c108190adc9adb73e90abff |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7359b756c819085480ca4174c53c2 |
completed | April 21, 2026, 8:30 a.m. |
Created at: April 16, 2026, 3:55 p.m.