Triple
T3678471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yosef Sprinzak |
E78052
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Sprinzak
Sprinzak is a Hebrew surname most notably associated with Yosef Sprinzak, an early Israeli politician and the first Speaker of the Knesset.
|
E379484
|
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: Sprinzak | Statement: [Yosef Sprinzak, familyName, Sprinzak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sprinzak Context triple: [Yosef Sprinzak, familyName, Sprinzak]
-
A.
Ussishkin
Ussishkin is a Jewish family name most prominently associated with Zionist leader Menachem Ussishkin.
-
B.
Zaslofsky
Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
-
C.
Rosenbad
Rosenbad is a prominent government building complex in central Stockholm that houses the offices of the Prime Minister and the Swedish Government.
-
D.
Blaustein
Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
-
E.
Savyon
Savyon is an affluent residential town in central Israel known for its spacious villas, high standard of living, and proximity to Tel Aviv.
- 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: Sprinzak Triple: [Yosef Sprinzak, familyName, Sprinzak]
Generated description
Sprinzak is a Hebrew surname most notably associated with Yosef Sprinzak, an early Israeli politician and the first Speaker of the Knesset.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sprinzak Target entity description: Sprinzak is a Hebrew surname most notably associated with Yosef Sprinzak, an early Israeli politician and the first Speaker of the Knesset.
-
A.
Ussishkin
Ussishkin is a Jewish family name most prominently associated with Zionist leader Menachem Ussishkin.
-
B.
Zaslofsky
Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
-
C.
Rosenbad
Rosenbad is a prominent government building complex in central Stockholm that houses the offices of the Prime Minister and the Swedish Government.
-
D.
Blaustein
Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
-
E.
Savyon
Savyon is an affluent residential town in central Israel known for its spacious villas, high standard of living, and proximity to Tel Aviv.
- 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_69ad85e18c1c8190be8aafb227f39f48 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc46599188190a046eddb0d85c483 |
completed | March 8, 2026, 6:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4c3a9c6f48190a44b3b2dab37268d |
completed | March 14, 2026, 2:10 a.m. |
| NEDg | Description generation | batch_69b4c4b6dfa48190aaa53e5d1677c0a1 |
completed | March 14, 2026, 2:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4c57d12408190baa63a3714c38dea |
completed | March 14, 2026, 2:18 a.m. |
Created at: March 8, 2026, 3:25 p.m.