Triple
T17398327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chiara |
E423011
|
entity |
| Predicate | hasDiminutive |
P456
|
FINISHED |
| Object | Chiarina |
E736547
|
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: Chiarina | Statement: [Chiara, hasDiminutive, Chiarina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chiarina Context triple: [Chiara, hasDiminutive, Chiarina]
-
A.
Chiarina
chosen
Chiarina is one of the character pieces in Robert Schumann’s piano cycle "Carnaval," traditionally understood as a musical portrait of Clara Wieck (later Clara Schumann).
-
B.
Frain
Frain is a surname most notably associated with English actor James Frain, known for his roles in film and television dramas.
-
C.
Riopelle
Riopelle is a surname most notably associated with Canadian painter and sculptor Jean-Paul Riopelle, a leading figure in abstract art.
-
D.
La Verde
La Verde is the popular nickname of the Bolivia national football team, referencing the green color of their home kit.
-
E.
Yolosa
Yolosa is a small Bolivian village in the Nor Yungas region, known as a gateway to the country’s subtropical Yungas valleys and nearby mountain roads.
- 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_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43abf7ea08190a9d9f9358e3bb684 |
completed | April 19, 2026, 2:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01a002b034819099fd74e01bb382b0 |
completed | May 11, 2026, 9:23 a.m. |
Created at: April 10, 2026, 5:45 a.m.