Triple
T22037826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magic |
E544255
|
entity |
| Predicate | hasSongwriter |
P1360
|
FINISHED |
| Object | Rance |
—
|
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: Rance | Statement: [Magic, hasSongwriter, Rance]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rance Context triple: [Magic, hasSongwriter, Rance]
-
A.
Rance
chosen
Rance is a masculine given name most notably borne by American actor Rance Howard.
-
B.
Rance
Rance is a river in northwestern France known for flowing through Brittany and hosting the Rance Tidal Power Station near Saint-Malo.
-
C.
La Rive
La Rive is a renowned fine-dining restaurant located within Amsterdam’s historic Amstel Hotel, known for its elegant cuisine and riverside setting.
-
D.
La River
La River is a significant waterway in north-central Vietnam that flows through Hà Tĩnh Province and plays an important role in the region’s agriculture and local livelihoods.
-
E.
Rhêmes river
The Rhêmes river is a mountain stream in Italy’s Aosta Valley that flows through the alpine Val di Rhêmes.
- 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_69e11e2f98c8819083e11eab90942a78 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127f32edc81909b6898af6621f56f |
completed | April 28, 2026, 9:34 p.m. |
Created at: April 16, 2026, 8:25 p.m.