Triple
T4366919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ira Eisenstein |
E98797
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Eisenstein
Eisenstein is a surname most notably associated with influential figures such as Soviet film director Sergei Eisenstein, a pioneer of montage theory in cinema.
|
E433736
|
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: Eisenstein | Statement: [Ira Eisenstein, familyName, Eisenstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eisenstein Context triple: [Ira Eisenstein, familyName, Eisenstein]
-
A.
Barbusse
Barbusse is the surname of Henri Barbusse, a French novelist and pacifist best known for his World War I novel "Le Feu" ("Under Fire").
-
B.
Rawitsch
Rawitsch is a historical town that was once part of the Prussian Province of Posen in what is now western Poland.
-
C.
Boris
Boris is the given name of Boris Johnson, the former Prime Minister of the United Kingdom and prominent British Conservative politician.
-
D.
Wassily
Wassily is a masculine given name most famously borne by the pioneering abstract painter Wassily Kandinsky.
-
E.
Gustav
Gustav is a masculine given name of German origin, borne by several notable historical figures including scientists, artists, and royalty.
- 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: Eisenstein Triple: [Ira Eisenstein, familyName, Eisenstein]
Generated description
Eisenstein is a surname most notably associated with influential figures such as Soviet film director Sergei Eisenstein, a pioneer of montage theory in cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eisenstein Target entity description: Eisenstein is a surname most notably associated with influential figures such as Soviet film director Sergei Eisenstein, a pioneer of montage theory in cinema.
-
A.
Barbusse
Barbusse is the surname of Henri Barbusse, a French novelist and pacifist best known for his World War I novel "Le Feu" ("Under Fire").
-
B.
Rawitsch
Rawitsch is a historical town that was once part of the Prussian Province of Posen in what is now western Poland.
-
C.
Boris
Boris is the given name of Boris Johnson, the former Prime Minister of the United Kingdom and prominent British Conservative politician.
-
D.
Wassily
Wassily is a masculine given name most famously borne by the pioneering abstract painter Wassily Kandinsky.
-
E.
Gustav
Gustav is a masculine given name of German origin, borne by several notable historical figures including scientists, artists, and royalty.
- 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_69b3454db3708190aeafd814413c4c3d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35201be7081908808e81634060f95 |
completed | March 12, 2026, 11:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5dbcec90881908fe83c83119d99fe |
completed | March 14, 2026, 10:06 p.m. |
| NEDg | Description generation | batch_69b5dc3e4c488190a06421cdb3b168c3 |
completed | March 14, 2026, 10:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5e0432bfc8190b18bbe918de1f297 |
completed | March 14, 2026, 10:25 p.m. |
Created at: March 12, 2026, 11:17 p.m.