Triple
T7249926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosalinda |
E156570
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | Rosaline |
E500717
|
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: Rosaline | Statement: [Rosalinda, relatedTo, Rosaline]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rosaline Context triple: [Rosalinda, relatedTo, Rosaline]
-
A.
Rosaline
chosen
Rosaline is a witty and sharp-tongued lady-in-waiting in Shakespeare’s comedy "Love’s Labour’s Lost," known for her clever banter and role as the object of Berowne’s affection.
-
B.
Juliette
Juliette is a feminine given name of French origin, widely used in many countries and popularized through literature and film.
-
C.
Béatrice
Béatrice is a French royal given name borne by Sophie Hélène Béatrice of France, a princess of the Bourbon dynasty.
-
D.
Beatrice
Beatrice is the idealized woman in Dante Alighieri’s Divine Comedy who serves as his spiritual guide through Paradise and symbolizes divine love and theology.
-
E.
Beatrice
Beatrice is a feminine given name of Latin origin, traditionally associated with meanings like "she who brings happiness" or "bringer of joy."
- 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_69c68827b5e481908dc05e145b2c92d4 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea77a3588190accf31860170f052 |
completed | March 27, 2026, 8:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7d3a2ba748190890c2980ca4a8ecd |
completed | March 28, 2026, 1:12 p.m. |
Created at: March 27, 2026, 2:56 p.m.