Triple
T7071206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cant Z.1018 Leone |
E164699
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Leone |
E73770
|
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: Leone | Statement: [Cant Z.1018 Leone, name, Leone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leone Context triple: [Cant Z.1018 Leone, name, Leone]
-
A.
Leone
Leone is an Italian surname most famously associated with Sergio Leone, the influential film director known for pioneering the Spaghetti Western genre.
-
B.
Leone
chosen
Leone is a village on the island of Tutuila in American Samoa, known for its coastal setting and traditional Samoan culture.
-
C.
Leoneg
Leoneg is a regional dialect of the Breton language traditionally spoken in parts of western Brittany, France.
-
D.
Lion
Lion is a mysterious, magical pink lion who serves as a companion and guardian to Steven in the animated series "Steven Universe."
-
E.
Lion
Lion is a 2016 biographical drama film about an Indian boy separated from his family and adopted in Australia who later uses Google Earth to find his way home.
- 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_69c6887b96548190a8a9b3ac8adf4119 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e4c862f481908d1faf6ed57774f1 |
completed | March 27, 2026, 8:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7945a98108190b982ad41222333e4 |
completed | March 28, 2026, 8:42 a.m. |
Created at: March 27, 2026, 2:39 p.m.