Triple
T8831458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dancing House |
E210152
|
entity |
| Predicate | architect |
P184
|
FINISHED |
| Object | Vlado Milunić |
E210152
|
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: Vlado Milunić | Statement: [Dancing House, architect, Vlado Milunić]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vlado Milunić Context triple: [Dancing House, architect, Vlado Milunić]
-
A.
Vlado Milunić
chosen
Vlado Milunić is a Czech architect of Croatian origin best known for co-designing Prague’s iconic deconstructivist landmark, the Dancing House.
-
B.
Mirko Marjanović
Mirko Marjanović was a Serbian politician and businessman who served as prime minister during the 1990s under Slobodan Milošević’s rule.
-
C.
Mladen Ulićević
Mladen Ulićević is a Montenegrin civil engineer and architect best known for designing the iconic Millennium Bridge in Podgorica.
-
D.
Nikola Bašić
Nikola Bašić is a Croatian architect and urban planner best known for his innovative, site-specific public installations that blend architecture, sound, and the coastal landscape of Zadar.
-
E.
Nenad Medvidović
Nenad Medvidović is a prominent computer scientist known for his influential work in software architecture and software engineering research.
- 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_69ca8365b28081909e48e45e95dfc405 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc604ed2b88190b4f53b34b5a438f7 |
completed | April 1, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa069d7488190ade4caa15fa83cd9 |
completed | April 3, 2026, 11:11 a.m. |
Created at: March 30, 2026, 6:47 p.m.