Triple
T10331933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cimetière de Plainpalais |
E242897
|
entity |
| Predicate | burialPlaceOf |
P196
|
FINISHED |
| Object | Adolphe Appia |
E168777
|
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: Adolphe Appia | Statement: [Cimetière de Plainpalais, burialPlaceOf, Adolphe Appia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adolphe Appia Context triple: [Cimetière de Plainpalais, burialPlaceOf, Adolphe Appia]
-
A.
Adolphe Appia
chosen
Adolphe Appia was a pioneering Swiss stage designer and theorist whose innovative ideas on lighting and three-dimensional sets revolutionized modern theatrical production.
-
B.
Edouard Bugnion
Edouard Bugnion is a computer scientist and entrepreneur best known as a co-founder and early chief architect of VMware, a pioneering company in virtualization technology.
-
C.
Adolphe Pictet
Adolphe Pictet was a 19th-century Swiss linguist and philologist known for his pioneering work on Indo-European languages and comparative grammar.
-
D.
Marcel Zyskind
Marcel Zyskind is a Danish cinematographer known for his visually distinctive work on independent and art-house films.
-
E.
René Havard
René Havard was a French screenwriter and actor active in mid-20th-century cinema.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4dfc1b0488190ac04da58a4987da0 |
completed | April 7, 2026, 10:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d794f3a130819095a8befd8fa3a9f0 |
completed | April 9, 2026, noon |
Created at: April 6, 2026, 11:52 a.m.