Triple
T20688414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Béla Lugosi |
E508483
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Arisztid Olt |
—
|
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: Arisztid Olt | Statement: [Béla Lugosi, alsoKnownAs, Arisztid Olt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arisztid Olt Context triple: [Béla Lugosi, alsoKnownAs, Arisztid Olt]
-
A.
Arisztid Olt
chosen
Arisztid Olt is an alternate name used by Béla Lugosi, the Hungarian-American actor famed for his iconic portrayal of Count Dracula.
-
B.
András Hámori
András Hámori is a Hungarian-Canadian film producer known for his work on international co-productions, including the acclaimed historical drama "Sunshine" (1999).
-
C.
Imre Thököly
Imre Thököly was a 17th-century Hungarian nobleman and leader of anti-Habsburg uprisings who briefly ruled parts of Upper Hungary with Ottoman support.
-
D.
Árpád Tóth
Árpád Tóth was a Hungarian poet known for his lyrical, melancholic verse in the early 20th century.
-
E.
Otto Szász
Otto Szász was a Hungarian-American mathematician known for his contributions to analysis, particularly in Fourier series and summability theory.
- 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_69e0b4c1ed408190b72dd26b1e33f8a1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c10b7b808190bdb8b08e53168fb8 |
completed | April 21, 2026, 12:12 a.m. |
Created at: April 16, 2026, 11:49 a.m.