Triple
T14831558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tivadar Soros |
E348716
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Tivadar
Tivadar is a Hungarian masculine given name, equivalent to Theodore, historically borne by several notable Hungarian figures.
|
E1121641
|
NE FINISHED |
How this triple was built (4 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: Tivadar | Statement: [Tivadar Soros, givenName, Tivadar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tivadar Context triple: [Tivadar Soros, givenName, Tivadar]
-
A.
Radomir
Radomir is a town in western Bulgaria known for its location in the Pernik Province and its proximity to the Struma River and the capital, Sofia.
-
B.
Vilmos
Vilmos is a masculine given name of Hungarian origin, equivalent to William in English.
-
C.
D’Branin
D’Branin is a central character in the science fiction horror story "Nightflyers," depicted as a driven scientist leading a perilous deep-space mission to make contact with an enigmatic alien intelligence.
-
D.
Teleki
Teleki is a Hungarian noble family name most notably associated with Pál Teleki, a geographer and two-time prime minister of Hungary in the early 20th century.
-
E.
Béla
Béla was a common medieval Hungarian royal given name borne by several kings, most notably Béla IV of Hungary.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tivadar Triple: [Tivadar Soros, givenName, Tivadar]
Generated description
Tivadar is a Hungarian masculine given name, equivalent to Theodore, historically borne by several notable Hungarian figures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tivadar Target entity description: Tivadar is a Hungarian masculine given name, equivalent to Theodore, historically borne by several notable Hungarian figures.
-
A.
Radomir
Radomir is a town in western Bulgaria known for its location in the Pernik Province and its proximity to the Struma River and the capital, Sofia.
-
B.
Vilmos
Vilmos is a masculine given name of Hungarian origin, equivalent to William in English.
-
C.
D’Branin
D’Branin is a central character in the science fiction horror story "Nightflyers," depicted as a driven scientist leading a perilous deep-space mission to make contact with an enigmatic alien intelligence.
-
D.
Teleki
Teleki is a Hungarian noble family name most notably associated with Pál Teleki, a geographer and two-time prime minister of Hungary in the early 20th century.
-
E.
Béla
Béla was a common medieval Hungarian royal given name borne by several kings, most notably Béla IV of Hungary.
- F. None of above. chosen
Provenance (5 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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded0748eec8190a39c94024c3a3e3e |
completed | April 14, 2026, 11:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe38a393988190837fdca148f4058c |
completed | May 8, 2026, 7:25 p.m. |
| NEDg | Description generation | batch_69fe3bcd4a588190990ab1f371373bfb |
completed | May 8, 2026, 7:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe3c9ee6e48190b5d6532804bfc15b |
completed | May 8, 2026, 7:42 p.m. |
Created at: April 10, 2026, 1:52 a.m.