Triple
T10895824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maggie Verver |
E257306
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Verver |
E885780
|
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: Verver | Statement: [Maggie Verver, familyName, Verver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Verver Context triple: [Maggie Verver, familyName, Verver]
-
A.
Verver
chosen
Verver is the surname of Maggie Verver, a central character in Henry James’s novel "The Golden Bowl."
-
B.
Sambreville
Sambreville is a municipality in the Walloon region of Belgium, situated along the Sambre River and known for its industrial and mining heritage.
-
C.
Ortanella
Ortanella is a small hamlet in the municipality of Esino Lario in the Lombardy region of northern Italy.
-
D.
Vepris
Vepris is a genus of flowering plants in the citrus family Rutaceae, comprising mostly trees and shrubs native to tropical Africa and nearby regions.
-
E.
Wiegel
Wiegel is a Dutch surname most notably borne by Hans Wiegel, a prominent liberal politician and former leader of the People's Party for Freedom and Democracy (VVD) in the Netherlands.
- 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75d022f4c81909cd9ea27a9f0cd32 |
completed | April 9, 2026, 8:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e15519e620819090e492861de6a567 |
completed | April 16, 2026, 9:31 p.m. |
Created at: April 8, 2026, 9:21 p.m.