Triple
T3991824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caprese Michelangelo |
E87007
|
entity |
| Predicate | originalName |
P65
|
FINISHED |
| Object | Caprese |
E87007
|
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: Caprese | Statement: [Caprese Michelangelo, originalName, Caprese]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caprese Context triple: [Caprese Michelangelo, originalName, Caprese]
-
A.
Caprese
chosen
Caprese is a small Tuscan village in Italy best known as the birthplace of the Renaissance artist Michelangelo.
-
B.
Calacuccia
Calacuccia is a small mountain village and commune in the Haute-Corse department of Corsica, France, known for its scenic lake and role as a gateway to the island’s central highlands.
-
C.
Margherita
Margherita is the Italian form of the female given name Margaret, commonly used in Italy and other Italian-speaking communities.
-
D.
Neapolitan
Neapolitan is a Romance language spoken in and around Naples and much of southern Italy, known for its distinct phonology, vocabulary, and rich literary and musical traditions.
-
E.
Meatballs
Meatballs is a 1979 comedy film that helped establish Bill Murray as a major comedic star through his role as an irreverent summer camp counselor.
- 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_69aed94118148190975e6aa4e554cde9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa1c476c819094063f654aa015c4 |
completed | March 9, 2026, 4:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54035e92c81909dc2be18719b062c |
completed | March 14, 2026, 11:02 a.m. |
Created at: March 9, 2026, 3:33 p.m.