Triple

T2510177
Position Surface form Disambiguated ID Type / Status
Subject Ilija Trojanow E52681 entity
Predicate givenName P17 FINISHED
Object Ilija
Ilija is a masculine given name of Slavic origin, commonly used in countries such as Bulgaria, Serbia, and North Macedonia.
 E276415 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: Ilija | Statement: [Ilija Trojanow, givenName, Ilija]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ilija
Context triple: [Ilija Trojanow, givenName, Ilija]
  • A. Mihajlo
    Mihajlo is the Serbian given name of Michael I. Pupin, the renowned Serbian-American physicist, inventor, and Columbia University professor.
  • B. Saša
    Saša is a given name commonly used in Slavic countries, often as a diminutive of Aleksandar or Aleksandra.
  • C. Neša
    Neša is the ancient name of the city of Kültepe, a major Bronze Age trading center and early Hittite capital in central Anatolia.
  • D. Petar
    Petar is a given name commonly used in Slavic countries, equivalent to the English name Peter.
  • E. Preslav
    Preslav is an ancient Bulgarian city that served as a major medieval political and cultural capital of the First Bulgarian Empire and a key center of Slavic literacy and Orthodox Christianity.
  • 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: Ilija
Triple: [Ilija Trojanow, givenName, Ilija]
Generated description
Ilija is a masculine given name of Slavic origin, commonly used in countries such as Bulgaria, Serbia, and North Macedonia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ilija
Target entity description: Ilija is a masculine given name of Slavic origin, commonly used in countries such as Bulgaria, Serbia, and North Macedonia.
  • A. Mihajlo
    Mihajlo is the Serbian given name of Michael I. Pupin, the renowned Serbian-American physicist, inventor, and Columbia University professor.
  • B. Saša
    Saša is a given name commonly used in Slavic countries, often as a diminutive of Aleksandar or Aleksandra.
  • C. Neša
    Neša is the ancient name of the city of Kültepe, a major Bronze Age trading center and early Hittite capital in central Anatolia.
  • D. Petar
    Petar is a given name commonly used in Slavic countries, equivalent to the English name Peter.
  • E. Preslav
    Preslav is an ancient Bulgarian city that served as a major medieval political and cultural capital of the First Bulgarian Empire and a key center of Slavic literacy and Orthodox Christianity.
  • 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_69ab4958e76481908a235377dd921c9e completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1ed94a08190a172a426c2123f36 completed March 7, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5ce8ca7081908f9c2550276352d5 completed March 9, 2026, 11:51 p.m.
NEDg Description generation batch_69af5db1c290819099d88815ebe97c1b completed March 9, 2026, 11:54 p.m.
NED2 Entity disambiguation (via description) batch_69af5e2cd2588190bc24c3cdd350fa70 completed March 9, 2026, 11:56 p.m.
Created at: March 6, 2026, 9:46 p.m.