Triple
T3375790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kunsthaus Zürich |
E71062
|
entity |
| Predicate | hasWorkBy |
P12366
|
FINISHED |
| Object | David Weiss |
unclear NED1
|
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: David Weiss | Statement: [Kunsthaus Zürich, hasWorkBy, David Weiss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Weiss Context triple: [Kunsthaus Zürich, hasWorkBy, David Weiss]
-
A.
David Weiss
David Weiss is a common personal name shared by multiple notable individuals across fields such as law, music, and literature.
-
B.
Robert Weiss
Robert Weiss is a relatively common personal name shared by multiple individuals across various professions, including the arts, sciences, and public life.
-
C.
John Weiss
John Weiss is a relatively obscure individual whose specific notability is not clearly established from the given information.
-
D.
Andrew Weiss
Andrew Weiss is a notable individual whose specific prominence or field of recognition is not clearly identifiable from the given information alone.
-
E.
Michael Weiss
Michael Weiss is a common personal name shared by multiple notable individuals across fields such as journalism, sports, and the arts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69ad85a7f80c8190a05e43013f298942 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb2e5fc6c81909ff582611751096d |
completed | March 8, 2026, 5:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4c3667a288190aa79835f5d621942 |
completed | March 14, 2026, 2:09 a.m. |
Created at: March 8, 2026, 3:13 p.m.