Triple
T15516141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dennis Gabor |
E368838
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | Gábor Dénes |
E1183247
|
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: Gábor Dénes | Statement: [Dennis Gabor, nativeName, Gábor Dénes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gábor Dénes Context triple: [Dennis Gabor, nativeName, Gábor Dénes]
-
A.
Gábor Dénes
chosen
Gábor Dénes, better known internationally as Dennis Gabor, was a Hungarian-British electrical engineer and physicist who won the Nobel Prize in Physics for inventing holography.
-
B.
Gyula Halász
Gyula Halász, better known by his pseudonym Brassaï, was a Hungarian–French photographer famed for his evocative black-and-white images of Parisian nightlife in the 1930s.
-
C.
Vilmos Gábor
Vilmos Gábor was the father of Hungarian-American actress and socialite Zsa Zsa Gabor.
-
D.
Ferenc Bene
Ferenc Bene was a prolific Hungarian forward of the 1960s and 1970s, renowned for his goal-scoring feats for both club Újpesti Dózsa and the Hungary national team.
-
E.
Zala György
Zala György was a Hungarian sculptor best known for his monumental public statues and memorials in Budapest at the turn of the 20th century.
- 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_69d85a1794cc8190b0b428716296e63e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e04033303c8190a87b6384f68a6921 |
completed | April 16, 2026, 1:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb593258081909dcaf2b37fd28e63 |
completed | May 9, 2026, 10:30 p.m. |
Created at: April 10, 2026, 4:02 a.m.