Triple
T1159643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jaume Plensa |
E24464
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Plensa |
E24464
|
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: Plensa | Statement: [Jaume Plensa, familyName, Plensa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Plensa Context triple: [Jaume Plensa, familyName, Plensa]
-
A.
Jaume Plensa
chosen
Jaume Plensa is a Spanish contemporary artist and sculptor internationally recognized for his large-scale public installations that explore the human figure, language, and light.
-
B.
Mecanoo
Mecanoo is a Dutch architecture firm renowned for its innovative, context-sensitive designs for cultural, educational, and public buildings worldwide.
-
C.
Antoni
Antoni is a masculine given name of Latin origin, commonly used in Poland and other European countries.
-
D.
El Prado
El Prado is the central, pedestrian-friendly promenade in San Diego’s Balboa Park, lined with Spanish Colonial Revival buildings, museums, and cultural institutions.
-
E.
Estudio Herreros
Estudio Herreros is a Spanish architecture firm known for contemporary, large-scale cultural projects, including the design of major museums and public buildings.
- 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_69a494060e148190abb42f971242c197 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bcad47a08190895769611798f67f |
completed | March 1, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac667d2bdc8190b7d797683a4d3fe8 |
completed | March 7, 2026, 5:55 p.m. |
Created at: March 1, 2026, 7:45 p.m.