Triple

T7277390
Position Surface form Disambiguated ID Type / Status
Subject Ratko Mladić E163063 entity
Predicate givenName P17 FINISHED
Object Ratko
Ratko is a masculine given name of Slavic origin, commonly used in countries such as Serbia, Croatia, and Bosnia and Herzegovina.
E653851 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: Ratko | Statement: [Ratko Mladić, givenName, Ratko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ratko
Context triple: [Ratko Mladić, givenName, Ratko]
  • A. Vlatko
    Vlatko is a masculine given name commonly used in Slavic countries, particularly in North Macedonia and other parts of the Balkans.
  • B. Marko Ramius
    Marko Ramius is a highly skilled Soviet submarine captain who masterminds a risky defection to the West in Tom Clancy’s techno-thriller "The Hunt for Red October."
  • C. Danilo Bach
    Danilo Bach is an American screenwriter best known for originating the story that became the hit action-comedy film "Beverly Hills Cop."
  • D. Gojko Šušak
    Gojko Šušak was a Croatian politician and wartime Minister of Defence who played a key role in leading Croatia’s military efforts during the Croatian War of Independence.
  • E. Tihomir Orešković
    Tihomir Orešković is a Croatian-Canadian businessman and politician who served as Croatia’s prime minister in 2016, leading a technocratic government.
  • 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: Ratko
Triple: [Ratko Mladić, givenName, Ratko]
Generated description
Ratko is a masculine given name of Slavic origin, commonly used in countries such as Serbia, Croatia, and Bosnia and Herzegovina.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ratko
Target entity description: Ratko is a masculine given name of Slavic origin, commonly used in countries such as Serbia, Croatia, and Bosnia and Herzegovina.
  • A. Vlatko
    Vlatko is a masculine given name commonly used in Slavic countries, particularly in North Macedonia and other parts of the Balkans.
  • B. Marko Ramius
    Marko Ramius is a highly skilled Soviet submarine captain who masterminds a risky defection to the West in Tom Clancy’s techno-thriller "The Hunt for Red October."
  • C. Danilo Bach
    Danilo Bach is an American screenwriter best known for originating the story that became the hit action-comedy film "Beverly Hills Cop."
  • D. Gojko Šušak
    Gojko Šušak was a Croatian politician and wartime Minister of Defence who played a key role in leading Croatia’s military efforts during the Croatian War of Independence.
  • E. Tihomir Orešković
    Tihomir Orešković is a Croatian-Canadian businessman and politician who served as Croatia’s prime minister in 2016, leading a technocratic government.
  • 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_69c6885c5964819085b209701769877f completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb309a648190a2a2f2cca9ce2f56 completed March 27, 2026, 8:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db3110688190bf52180ea159c91c completed March 28, 2026, 1:44 p.m.
NEDg Description generation batch_69c7dbf65fb08190ae8a9c4e57d42e97 completed March 28, 2026, 1:47 p.m.
NED2 Entity disambiguation (via description) batch_69c7dc6873a081908ea4e953430ec20b completed March 28, 2026, 1:49 p.m.
Created at: March 27, 2026, 2:59 p.m.