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.