Triple

T1814706
Position Surface form Disambiguated ID Type / Status
Subject Sasha E40409 entity
Predicate hasVariant P455 FINISHED
Object Saša
Saša is a given name commonly used in Slavic countries, often as a diminutive of Aleksandar or Aleksandra.
 E204369 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: Saša | Statement: [Sasha, hasVariant, Saša]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Saša
Context triple: [Sasha, hasVariant, Saša]
  • A. Petar
    Petar is a given name commonly used in Slavic countries, equivalent to the English name Peter.
  • B. Neša
    Neša is the ancient name of the city of Kültepe, a major Bronze Age trading center and early Hittite capital in central Anatolia.
  • C. Mihajlo
    Mihajlo is the Serbian given name of Michael I. Pupin, the renowned Serbian-American physicist, inventor, and Columbia University professor.
  • D. Dušan Simović
    Dušan Simović was a Yugoslav general and politician who led the 1941 coup d'état against the pro-Axis government and briefly served as prime minister during the German invasion of Yugoslavia in World War II.
  • E. Tomislav Tomašević
    Tomislav Tomašević is a Croatian politician and environmental activist who serves as the mayor of Zagreb and is a leading figure of the green-left political movement in Croatia.
  • 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: Saša
Triple: [Sasha, hasVariant, Saša]
Generated description
Saša is a given name commonly used in Slavic countries, often as a diminutive of Aleksandar or Aleksandra.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Saša
Target entity description: Saša is a given name commonly used in Slavic countries, often as a diminutive of Aleksandar or Aleksandra.
  • A. Petar
    Petar is a given name commonly used in Slavic countries, equivalent to the English name Peter.
  • B. Neša
    Neša is the ancient name of the city of Kültepe, a major Bronze Age trading center and early Hittite capital in central Anatolia.
  • C. Mihajlo
    Mihajlo is the Serbian given name of Michael I. Pupin, the renowned Serbian-American physicist, inventor, and Columbia University professor.
  • D. Dušan Simović
    Dušan Simović was a Yugoslav general and politician who led the 1941 coup d'état against the pro-Axis government and briefly served as prime minister during the German invasion of Yugoslavia in World War II.
  • E. Tomislav Tomašević
    Tomislav Tomašević is a Croatian politician and environmental activist who serves as the mayor of Zagreb and is a leading figure of the green-left political movement in Croatia.
  • 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_69a8864526c081908a3a4d74f689e2c5 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa65f4628481909ca8e4c2302752ac completed March 6, 2026, 5:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf5de46c8190817f67d692e98803 completed March 8, 2026, 6:26 p.m.
NEDg Description generation batch_69adc2b4d8a0819080ff41cf73417276 completed March 8, 2026, 6:40 p.m.
NED2 Entity disambiguation (via description) batch_69adc38732d8819092e0ac76354f08c1 completed March 8, 2026, 6:44 p.m.
Created at: March 4, 2026, 7:32 p.m.