Triple
T17435382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bela Lugosi Jr. |
E423988
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Bela |
—
|
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: Bela | Statement: [Bela Lugosi Jr., givenName, Bela]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bela Context triple: [Bela Lugosi Jr., givenName, Bela]
-
A.
Bela
Bela is a supporting character in the 1941 horror film "The Wolf Man," portrayed as a tormented Romani werewolf whose curse sets the story’s tragic events in motion.
-
B.
Bela
Bela is a historic town in Pakistan’s Balochistan province, known as an administrative and commercial center within the Lasbela region.
-
C.
Bela Sheshe
Bela Sheshe is a Bengali film best known for featuring legendary actor Soumitra Chatterjee in a prominent role.
-
D.
Béla
chosen
Béla was a common medieval Hungarian royal given name borne by several kings, most notably Béla IV of Hungary.
-
E.
Dora Baltea
Dora Baltea is a major river in northwestern Italy that flows from the Alps through the Aosta Valley and Piedmont before joining the Po River.
- 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4490361c081908fd24f9a812f212c |
completed | April 19, 2026, 3:16 a.m. |
Created at: April 10, 2026, 5:46 a.m.