Triple

T10233160
Position Surface form Disambiguated ID Type / Status
Subject Alla Pugacheva E243394 entity
Predicate givenName P17 FINISHED
Object Alla
Alla is a feminine given name commonly used in Russian and other Slavic cultures.
 E851434 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: Alla | Statement: [Alla Pugacheva, givenName, Alla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alla
Context triple: [Alla Pugacheva, givenName, Alla]
  • A. Dalia
    Dalia is a central love interest and salon owner in the comedy film "You Don’t Mess with the Zohan," portrayed as a strong, independent Palestinian woman who becomes romantically involved with the title character.
  • B. Dalia
    Dalia is a supporting character in Disney’s 2019 live-action adaptation of Aladdin, serving as Princess Jasmine’s handmaiden and close confidante.
  • C. Arleta
    Arleta is a residential neighborhood in the San Fernando Valley region of Los Angeles, California.
  • D. Lela
    Lela is a feminine given name used in various cultures, often as a variant of Leila or Layla.
  • E. Anela
    Anela is a small town and comune in the historical Logudoro region of northern Sardinia, Italy.
  • 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: Alla
Triple: [Alla Pugacheva, givenName, Alla]
Generated description
Alla is a feminine given name commonly used in Russian and other Slavic cultures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alla
Target entity description: Alla is a feminine given name commonly used in Russian and other Slavic cultures.
  • A. Dalia
    Dalia is a central love interest and salon owner in the comedy film "You Don’t Mess with the Zohan," portrayed as a strong, independent Palestinian woman who becomes romantically involved with the title character.
  • B. Dalia
    Dalia is a supporting character in Disney’s 2019 live-action adaptation of Aladdin, serving as Princess Jasmine’s handmaiden and close confidante.
  • C. Arleta
    Arleta is a residential neighborhood in the San Fernando Valley region of Los Angeles, California.
  • D. Lela
    Lela is a feminine given name used in various cultures, often as a variant of Leila or Layla.
  • E. Anela
    Anela is a small town and comune in the historical Logudoro region of northern Sardinia, Italy.
  • 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_69d381b0f97c819085c9b45799a5fb7c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d20ba5348190a5aac664645416d5 completed April 7, 2026, 9:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f74c66048190a0ba1cba593cccb5 completed April 9, 2026, 12:48 a.m.
NEDg Description generation batch_69d6fa2ea97081908395048218c0592b completed April 9, 2026, 1 a.m.
NED2 Entity disambiguation (via description) batch_69d6fcb5dc4c8190944a423a9d16a4b8 completed April 9, 2026, 1:11 a.m.
Created at: April 6, 2026, 11:20 a.m.