Triple
T22291897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jolie Gabor |
E551017
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Vilmos Gábor |
—
|
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: Vilmos Gábor | Statement: [Jolie Gabor, spouse, Vilmos Gábor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vilmos Gábor Context triple: [Jolie Gabor, spouse, Vilmos Gábor]
-
A.
Vilmos Gábor
chosen
Vilmos Gábor was the father of Hungarian-American actress and socialite Zsa Zsa Gabor.
-
B.
Gyula Fehér
Gyula Fehér is a technology entrepreneur best known as a co-founder of the live video streaming platform Ustream.
-
C.
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.
-
D.
Pál Nagy
Pál Nagy is a Hungarian name shared by several notable individuals, including figures in fields such as sports, academia, and public life.
-
E.
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).
- 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_69e11e45fb848190a1b2ae21296e3a5f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1560d1ec48190ab86f158c94b677b |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 16, 2026, 8:41 p.m.