Triple

T4408090
Position Surface form Disambiguated ID Type / Status
Subject Vlade Divac E93782 entity
Predicate givenName P17 FINISHED
Object Vlade
Vlade is the given name of Vlade Divac, a renowned Serbian former professional basketball player and NBA Hall of Famer.
 E331996 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: Vlade | Statement: [Vlade Divac, givenName, Vlade]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vlade
Context triple: [Vlade Divac, givenName, Vlade]
  • A. Vladimirci
    Vladimirci is a small town and municipality in western Serbia, situated in the Mačva region and known for its agricultural surroundings.
  • B. Vladislav
    Vladislav is a masculine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
  • C. Vladimir
    Vladimir is a common Russian male given name of Slavic origin, historically associated with rulers and notably borne by Russian president Vladimir Putin.
  • D. Vladimir
    Vladimir is a historic Russian city east of Moscow, known as one of the medieval capitals of Russia and a key center of the Golden Ring.
  • E. Vasile
    Vasile is a masculine given name, primarily used in Romania and Moldova, derived from the Greek name Basil (Basileios), meaning "kingly" or "royal."
  • 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: Vlade
Triple: [Vlade Divac, givenName, Vlade]
Generated description
Vlade is the given name of Vlade Divac, a renowned Serbian former professional basketball player and NBA Hall of Famer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vlade
Target entity description: Vlade is the given name of Vlade Divac, a renowned Serbian former professional basketball player and NBA Hall of Famer.
  • A. Vladimirci
    Vladimirci is a small town and municipality in western Serbia, situated in the Mačva region and known for its agricultural surroundings.
  • B. Vladislav chosen
    Vladislav is a masculine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
  • C. Vladimir
    Vladimir is a common Russian male given name of Slavic origin, historically associated with rulers and notably borne by Russian president Vladimir Putin.
  • D. Vladimir
    Vladimir is a historic Russian city east of Moscow, known as one of the medieval capitals of Russia and a key center of the Golden Ring.
  • E. Vasile
    Vasile is a masculine given name, primarily used in Romania and Moldova, derived from the Greek name Basil (Basileios), meaning "kingly" or "royal."
  • F. None of above.

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_69b345158c748190a2c040fce2da9980 completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b3548cb92881908a3f98466da8e0a2 completed March 13, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6136149ac8190a7cfd866bacc809f completed March 15, 2026, 2:03 a.m.
NEDg Description generation batch_69b617c13d4481909d22d201ce405d3a completed March 15, 2026, 2:21 a.m.
NED2 Entity disambiguation (via description) batch_69b6187687f8819084e2d611e9e31f79 completed March 15, 2026, 2:24 a.m.
Created at: March 12, 2026, 11:28 p.m.