Triple
T4276283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Django Reinhardt |
E97053
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Reinhardt |
E185835
|
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: Reinhardt | Statement: [Django Reinhardt, familyName, Reinhardt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reinhardt Context triple: [Django Reinhardt, familyName, Reinhardt]
-
A.
Reinhardt
Reinhardt is a supporting character in the 2002 vampire action film "Blade II," appearing as a member of the Bloodpack team that initially allies with Blade.
-
B.
Reinhardt
chosen
Reinhardt is a German-language surname borne by numerous notable individuals across fields such as music, military history, and the arts.
-
C.
Ashe
Ashe is a small village in Hampshire, England, known for its rural setting near the headwaters of the River Test.
-
D.
Auron
Auron is a river in central France that flows through the Cher department and joins the Yèvre near the city of Bourges.
-
E.
Auron
Auron is a French ski resort village in the southern Alps known for its extensive slopes and proximity to Nice.
- 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_69b34544be3c819084d1ab82d29f90c5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3501d677481909e7416a1d2b0008c |
completed | March 12, 2026, 11:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5b7b3b52c8190ae7c05448faf5558 |
completed | March 14, 2026, 7:32 p.m. |
Created at: March 12, 2026, 11:07 p.m.