Triple
T20360076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orsino |
E496751
|
entity |
| Predicate | interactsWith |
P3970
|
FINISHED |
| Object | Curio |
—
|
NE NERFINISHED |
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: Curio | Statement: [Orsino, interactsWith, Curio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Curio Context triple: [Orsino, interactsWith, Curio]
-
A.
Curio
chosen
Curio is a minor Roman character in Shakespeare’s play "Julius Caesar," serving as one of the attendants in the early scenes.
-
B.
Curio
Curio is a small municipality in the canton of Ticino in southern Switzerland, known for its traditional village character and scenic hillside setting.
-
C.
Kurious
Kurious is an American rapper known for his witty, offbeat lyricism and contributions to the 1990s New York underground hip-hop scene.
-
D.
Curado
Curado is a neighborhood and district within the city of Recife in Brazil, known primarily as a large residential area with significant road connections and industrial activity.
-
E.
Kurios – Cabinet of Curiosities
Kurios – Cabinet of Curiosities is a steampunk-inspired Cirque du Soleil touring show that blends acrobatics, surreal visuals, and whimsical storytelling in a fantastical inventor’s world.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4a3f7f48190b37f354574028ca6 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678584294819093788ccf2fb8e588 |
completed | April 20, 2026, 7:02 p.m. |
Created at: April 16, 2026, 11:25 a.m.