Triple

T10989379
Position Surface form Disambiguated ID Type / Status
Subject Mammad Hasan Hajinski E259715 entity
Predicate familyName P18 FINISHED
Object Hajinski
Hajinski is an Azerbaijani surname most notably associated with Mammad Hasan Hajinski, a prominent statesman and political figure of the Azerbaijan Democratic Republic.
 E898412 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: Hajinski | Statement: [Mammad Hasan Hajinski, familyName, Hajinski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hajinski
Context triple: [Mammad Hasan Hajinski, familyName, Hajinski]
  • A. Hajdúnánás
    Hajdúnánás is a town in eastern Hungary known for its agricultural surroundings, thermal baths, and location within the Northern Great Plain region.
  • B. Menczel
    Menczel is a variant spelling of the surname Menzel, which is of German origin and borne by various notable individuals.
  • C. Harsusi
    Harsusi is a critically endangered South Semitic language spoken by a small community in the Dhofar region of Oman.
  • D. Hilty
    Hilty is the surname of American actress and singer Megan Hilty, known for her work on Broadway and television.
  • E. Zaslofsky
    Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
  • 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: Hajinski
Triple: [Mammad Hasan Hajinski, familyName, Hajinski]
Generated description
Hajinski is an Azerbaijani surname most notably associated with Mammad Hasan Hajinski, a prominent statesman and political figure of the Azerbaijan Democratic Republic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hajinski
Target entity description: Hajinski is an Azerbaijani surname most notably associated with Mammad Hasan Hajinski, a prominent statesman and political figure of the Azerbaijan Democratic Republic.
  • A. Hajdúnánás
    Hajdúnánás is a town in eastern Hungary known for its agricultural surroundings, thermal baths, and location within the Northern Great Plain region.
  • B. Menczel
    Menczel is a variant spelling of the surname Menzel, which is of German origin and borne by various notable individuals.
  • C. Harsusi
    Harsusi is a critically endangered South Semitic language spoken by a small community in the Dhofar region of Oman.
  • D. Hilty
    Hilty is the surname of American actress and singer Megan Hilty, known for her work on Broadway and television.
  • E. Zaslofsky
    Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
  • 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_69d6aa8a6a548190a750f944ccdc8064 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d787b6d0b48190aaf959e2609d34e5 completed April 9, 2026, 11:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69e344f95ab88190bbce8f0eab0b2713 completed April 18, 2026, 8:46 a.m.
NEDg Description generation batch_69e3556e8b408190a02a1fe194ae5750 completed April 18, 2026, 9:57 a.m.
NED2 Entity disambiguation (via description) batch_69e3593b0f8481909ed7a90f8bb9839d completed April 18, 2026, 10:13 a.m.
Created at: April 8, 2026, 9:24 p.m.