Triple
T14837412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luis Scola |
E348867
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Scola |
E940821
|
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: Scola | Statement: [Luis Scola, familyName, Scola]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scola Context triple: [Luis Scola, familyName, Scola]
-
A.
Scola
chosen
Scola is an Italian surname most prominently associated with Angelo Scola, a cardinal of the Catholic Church and former Archbishop of Milan.
-
B.
La Schola
La Schola is a small island located within the Stagnone Lagoon off the western coast of Sicily, Italy.
-
C.
Virtus
Virtus is a Latin term meaning "virtue" or "excellence," often associated with moral strength, courage, and character.
-
D.
Scuol
Scuol is a Swiss alpine village in the Lower Engadine region of the canton of Graubünden, known for its mineral springs, traditional Romansh culture, and mountain tourism.
-
E.
Michaelhouse
Michaelhouse is a prestigious South African boys' boarding school known for its strong academic, sporting, and cultural traditions.
- 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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded28d0ddc8190a34e3e2d469ab762 |
completed | April 14, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe38a813b881908a71350073c8fc5c |
completed | May 8, 2026, 7:25 p.m. |
Created at: April 10, 2026, 1:52 a.m.