Triple

T21154789
Position Surface form Disambiguated ID Type / Status
Subject Gavrilo Princip E521283 entity
Predicate familyName P18 FINISHED
Object Princip
Princip is a South Slavic surname most famously borne by Gavrilo Princip, the Bosnian Serb assassin whose actions helped trigger World War I.
 E1469659 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: Princip | Statement: [Gavrilo Princip, familyName, Princip]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Princip
Context triple: [Gavrilo Princip, familyName, Princip]
  • A. Prinkipos
    Prinkipos is the former name of Büyükada, the largest and most famous of Istanbul’s Princes’ Islands in the Sea of Marmara.
  • B. Prez
    Prez is the famous nickname of American jazz tenor saxophonist Lester Young, a pioneering figure in the swing era known for his smooth, lyrical playing style.
  • C. Principal
    Principal is a global financial services company brand offering retirement, insurance, and investment products.
  • D. Prence
    Prence is an English surname most notably associated with Thomas Prence, a colonial governor of Plymouth Colony in the 17th century.
  • E. Pris
    Pris is a diminutive form of the given name Priscilla, often used as a familiar or affectionate nickname.
  • 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: Princip
Triple: [Gavrilo Princip, familyName, Princip]
Generated description
Princip is a South Slavic surname most famously borne by Gavrilo Princip, the Bosnian Serb assassin whose actions helped trigger World War I.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Princip
Target entity description: Princip is a South Slavic surname most famously borne by Gavrilo Princip, the Bosnian Serb assassin whose actions helped trigger World War I.
  • A. Prinkipos
    Prinkipos is the former name of Büyükada, the largest and most famous of Istanbul’s Princes’ Islands in the Sea of Marmara.
  • B. Prez
    Prez is the famous nickname of American jazz tenor saxophonist Lester Young, a pioneering figure in the swing era known for his smooth, lyrical playing style.
  • C. Principal
    Principal is a global financial services company brand offering retirement, insurance, and investment products.
  • D. Prence
    Prence is an English surname most notably associated with Thomas Prence, a colonial governor of Plymouth Colony in the 17th century.
  • E. Pris
    Pris is a diminutive form of the given name Priscilla, often used as a familiar or affectionate nickname.
  • 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_69e0b50d1ea481909c07e63c3ead9316 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7252a48788190bfdfe811fc6cfc06 completed April 21, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a096dca1b28819087d3d6d118e7eaee completed May 17, 2026, 7:27 a.m.
NEDg Description generation batch_6a096e6cce748190ba618dfe86f7f6ce completed May 17, 2026, 7:29 a.m.
NED2 Entity disambiguation (via description) batch_6a096f7706448190a1bb61535e0adcd3 completed May 17, 2026, 7:34 a.m.
Created at: April 16, 2026, 2:58 p.m.