Triple

T4124813
Position Surface form Disambiguated ID Type / Status
Subject Milutin Tesla E92698 entity
Predicate givenName P17 FINISHED
Object Milutin
Milutin is a masculine given name of Slavic origin, commonly used in Serbian and other South Slavic cultures.
 E416593 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: Milutin | Statement: [Milutin Tesla, givenName, Milutin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Milutin
Context triple: [Milutin Tesla, givenName, Milutin]
  • A. Mihajlo
    Mihajlo is the Serbian given name of Michael I. Pupin, the renowned Serbian-American physicist, inventor, and Columbia University professor.
  • B. Ilija
    Ilija is a masculine given name of Slavic origin, commonly used in countries such as Bulgaria, Serbia, and North Macedonia.
  • C. Jovan
    Jovan is a masculine given name commonly used in South Slavic regions, equivalent to "John" in English.
  • D. Gavrilo
    Gavrilo is a masculine given name of Slavic origin, commonly used in South Slavic countries and related to the name Gabriel.
  • E. Ivan Sratsimir
    Ivan Sratsimir was a 14th-century Bulgarian tsar who ruled the Vidin-based western part of the fragmented Second Bulgarian Empire during its final decades before Ottoman conquest.
  • 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: Milutin
Triple: [Milutin Tesla, givenName, Milutin]
Generated description
Milutin is a masculine given name of Slavic origin, commonly used in Serbian and other South Slavic cultures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Milutin
Target entity description: Milutin is a masculine given name of Slavic origin, commonly used in Serbian and other South Slavic cultures.
  • A. Mihajlo
    Mihajlo is the Serbian given name of Michael I. Pupin, the renowned Serbian-American physicist, inventor, and Columbia University professor.
  • B. Ilija
    Ilija is a masculine given name of Slavic origin, commonly used in countries such as Bulgaria, Serbia, and North Macedonia.
  • C. Jovan
    Jovan is a masculine given name commonly used in South Slavic regions, equivalent to "John" in English.
  • D. Gavrilo
    Gavrilo is a masculine given name of Slavic origin, commonly used in South Slavic countries and related to the name Gabriel.
  • E. Ivan Sratsimir
    Ivan Sratsimir was a 14th-century Bulgarian tsar who ruled the Vidin-based western part of the fragmented Second Bulgarian Empire during its final decades before Ottoman conquest.
  • 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_69aed9685f70819086932777aec8d959 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69af020a015081909015e6837c4b4a73 completed March 9, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f256abc819086cd464be1a9efbf completed March 14, 2026, 3:30 p.m.
NEDg Description generation batch_69b57fe89ed0819089d7e56568755b1c completed March 14, 2026, 3:34 p.m.
NED2 Entity disambiguation (via description) batch_69b5805cb7e88190b2f6ed6a18de9319 completed March 14, 2026, 3:35 p.m.
Created at: March 9, 2026, 3:41 p.m.