Triple
T20856143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laszlo Halasz |
E513485
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Laszlo Halasz |
—
|
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: Laszlo Halasz | Statement: [Laszlo Halasz, name, Laszlo Halasz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laszlo Halasz Context triple: [Laszlo Halasz, name, Laszlo Halasz]
-
A.
Laszlo Halasz
chosen
Laszlo Halasz was a Hungarian-American conductor and opera director best known as the founding director of the New York City Opera.
-
B.
Andras Hamori
Andras Hamori is a film producer known for his work on various international and independent movies.
-
C.
László Mensáros
László Mensáros was a prominent Hungarian actor known for his extensive work in theater, film, and television during the mid-20th century.
-
D.
Istvan Pely
Istvan Pely is a video game artist and art director best known for his long-time work at Bethesda Game Studios on franchises like Fallout and The Elder Scrolls.
-
E.
Zoltan Honti
Zoltan Honti is a cinematographer best known for his work on the horror film "The Last Exorcism."
- 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_69e0b4f5b01081909452f654d2fc3f50 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c3a81ac4819084a07625b8ed4ec5 |
completed | April 21, 2026, 12:24 a.m. |
Created at: April 16, 2026, 12:44 p.m.