Triple
T12769750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parfumerie |
E305214
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Miklós László |
E533748
|
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: Miklós László | Statement: [Parfumerie, author, Miklós László]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miklós László Context triple: [Parfumerie, author, Miklós László]
-
A.
Miklós László
chosen
Miklós László was a Hungarian-born playwright best known for writing the stage play that inspired the classic film "The Shop Around the Corner."
-
B.
László Szabó
László Szabó is a Hungarian-born French actor and filmmaker known for his work in European art cinema, including collaborations with directors of the French New Wave.
-
C.
Miklós Lázár
Miklós Lázár is an actor known for his role in the supernatural crime thriller film "The First Power."
-
D.
Béla Miklós
Béla Miklós was a Hungarian military officer and politician who served as Prime Minister of Hungary near the end of World War II and played a key role in the country’s transition away from Nazi Germany.
-
E.
Imre Molnár
Imre Molnár is the pseudonym of Imre Lakatos, a prominent Hungarian-born philosopher of mathematics and science known for his work on the methodology of scientific research programmes.
- 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96df4b36c81909bcc913dd5e535f8 |
completed | April 10, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68eba76008190ad9df2e2a5423471 |
completed | May 2, 2026, 11:54 p.m. |
Created at: April 9, 2026, 5:28 p.m.