Triple

T4361780
Position Surface form Disambiguated ID Type / Status
Subject Philhellenes E98676 entity
Predicate hasNotableMember P304 FINISHED
Object Kogălniceanu
Kogălniceanu was a prominent 19th-century Romanian statesman, historian, and liberal reformer who played a key role in the modernization and political unification of the Romanian principalities.
 E434999 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: Kogălniceanu | Statement: [Philhellenes, hasNotableMember, Kogălniceanu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kogălniceanu
Context triple: [Philhellenes, hasNotableMember, Kogălniceanu]
  • A. Gheorghe
    Gheorghe is a common Romanian male given name of Greek origin, equivalent to George in English.
  • B. Cazimir Ionescu
    Cazimir Ionescu is a Romanian politician known for his role in the post-1989 transitional government and his involvement in the National Salvation Front.
  • C. Constantin Sănătescu
    Constantin Sănătescu was a Romanian army general and statesman who led the country as prime minister after the fall of Ion Antonescu during World War II.
  • D. Nicolae
    Nicolae is a Romanian masculine given name commonly used across various generations and regions of Romania.
  • E. Dumitru Erhan
    Dumitru Erhan is a computer scientist and machine learning researcher known for influential work in deep learning and neural networks.
  • 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: Kogălniceanu
Triple: [Philhellenes, hasNotableMember, Kogălniceanu]
Generated description
Kogălniceanu was a prominent 19th-century Romanian statesman, historian, and liberal reformer who played a key role in the modernization and political unification of the Romanian principalities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kogălniceanu
Target entity description: Kogălniceanu was a prominent 19th-century Romanian statesman, historian, and liberal reformer who played a key role in the modernization and political unification of the Romanian principalities.
  • A. Gheorghe
    Gheorghe is a common Romanian male given name of Greek origin, equivalent to George in English.
  • B. Cazimir Ionescu
    Cazimir Ionescu is a Romanian politician known for his role in the post-1989 transitional government and his involvement in the National Salvation Front.
  • C. Constantin Sănătescu
    Constantin Sănătescu was a Romanian army general and statesman who led the country as prime minister after the fall of Ion Antonescu during World War II.
  • D. Nicolae
    Nicolae is a Romanian masculine given name commonly used across various generations and regions of Romania.
  • E. Dumitru Erhan
    Dumitru Erhan is a computer scientist and machine learning researcher known for influential work in deep learning and neural networks.
  • 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_69b3454c772081908e20173e379e8ebe completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b351e47d388190b31500189577cd75 completed March 12, 2026, 11:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e504f7b88190abc3e999c499920d completed March 14, 2026, 10:45 p.m.
NEDg Description generation batch_69b5e57d85808190a3a4418bbd2a66c8 completed March 14, 2026, 10:47 p.m.
NED2 Entity disambiguation (via description) batch_69b5e5eb85dc819087ce983114208231 completed March 14, 2026, 10:49 p.m.
Created at: March 12, 2026, 11:16 p.m.