Triple

T32324386
Position Surface form Disambiguated ID Type / Status
Subject The Girl with the Hatbox E825863 entity
Predicate originalTitleLatin P9999 FINISHED
Object Devushka s korobkoy
Devushka s korobkoy is a 1927 Soviet silent romantic comedy film directed by Boris Barnet, known in English as "The Girl with the Hatbox."
 E2002453 NE FINISHED

How this triple was built (3 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: Devushka s korobkoy | Statement: [The Girl with the Hatbox, originalTitleLatin, Devushka s korobkoy]
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: Devushka s korobkoy
Triple: [The Girl with the Hatbox, originalTitleLatin, Devushka s korobkoy]
Generated description
Devushka s korobkoy is a 1927 Soviet silent romantic comedy film directed by Boris Barnet, known in English as "The Girl with the Hatbox."
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: originalTitleLatin
Context triple: [The Girl with the Hatbox, originalTitleLatin, Devushka s korobkoy]
  • A. originalTitleName
    Indicates that one entity is the original or primary title name associated with another entity.
  • B. originalLanguageTitle
    Indicates the title of a work as it appears in its original language of creation or publication.
  • C. originalTitleLanguage
    Indicates the language in which a work’s original title was written or expressed.
  • D. hasLatinTitleOf
    Indicates that one entity has, uses, or is associated with the Latin-language title corresponding to another entity.
  • E. hasLatinTitle chosen
    Indicates that an entity possesses a title or name expressed in Latin.
  • F. None of above.

Provenance (6 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_69f34912d0c48190bba75770660320e9 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_6a018c6b7178819097d5450a1e3c2408 completed May 11, 2026, 7:59 a.m.
NED1 Entity disambiguation (via context triple) batch_6a305720317c8190b3eae01c963c92ff completed June 15, 2026, 7:48 p.m.
NEDg Description generation batch_6a31b5cd810c8190b3166a3348c6c041 completed June 16, 2026, 8:45 p.m.
NED2 Entity disambiguation (via description) batch_6a31b67e68a081908ebaf60ca5539865 completed June 16, 2026, 8:47 p.m.
PD Predicate disambiguation batch_6a018a4f741c8190babe721a908e2f5e completed May 11, 2026, 7:50 a.m.
Created at: May 1, 2026, 12:47 a.m.