Triple
T11223217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franz Weissmann |
E265624
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Cubo Vazado |
E611824
|
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: Cubo Vazado | Statement: [Franz Weissmann, notableWork, Cubo Vazado]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cubo Vazado Context triple: [Franz Weissmann, notableWork, Cubo Vazado]
-
A.
Cubo Vazado
chosen
Cubo Vazado is a landmark geometric steel sculpture by Brazilian artist Franz Weissmann, exemplifying his minimalist, constructivist approach to form and space.
-
B.
Cubo de La Galga
Cubo de La Galga is a lush laurel forest ravine and popular hiking area on the island of La Palma in the Canary Islands, known for its dense vegetation and scenic walking trails.
-
C.
Gleaming the Cube
Gleaming the Cube is a 1989 cult skateboarding-themed thriller film starring Christian Slater as a rebellious teen who investigates his adopted brother’s mysterious death.
-
D.
The Cube
The Cube is the powerful, ancient artifact in the Transformers universe capable of creating and granting life to Cybertronian robots.
-
E.
Taliedo
Taliedo is a district in Milan, Italy, historically known for its aviation industry and the Caproni aircraft manufacturing facilities.
- 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_69d6aac59460819089b9848b27f57848 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8ec8fb08190b27144ab65f85957 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4978389848190ac5a8b985bbea15f |
completed | April 19, 2026, 8:51 a.m. |
Created at: April 8, 2026, 9:30 p.m.