Triple

T9243121
Position Surface form Disambiguated ID Type / Status
Subject Pavao E222113 entity
Predicate hasDiminutive P456 FINISHED
Object Pavle
Pavle is a South Slavic male given name commonly used in countries such as Serbia, Croatia, and Montenegro, equivalent to Paul in English.
 E786841 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: Pavle | Statement: [Pavao, hasDiminutive, Pavle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pavle
Context triple: [Pavao, hasDiminutive, Pavle]
  • A. Predrag
    Predrag is the given first name of former Serbian professional basketball player Peja Stojaković.
  • B. Mihajlo
    Mihajlo is the Serbian given name of Michael I. Pupin, the renowned Serbian-American physicist, inventor, and Columbia University professor.
  • C. Petar
    Petar is a given name commonly used in Slavic countries, equivalent to the English name Peter.
  • D. Vlatko
    Vlatko is a masculine given name commonly used in Slavic countries, particularly in North Macedonia and other parts of the Balkans.
  • E. Rastko
    Rastko, later known as Saint Sava, was a medieval Serbian prince who became a monk and is revered as the founder of the Serbian Orthodox Church and a key figure in Serbian medieval culture and education.
  • 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: Pavle
Triple: [Pavao, hasDiminutive, Pavle]
Generated description
Pavle is a South Slavic male given name commonly used in countries such as Serbia, Croatia, and Montenegro, equivalent to Paul in English.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pavle
Target entity description: Pavle is a South Slavic male given name commonly used in countries such as Serbia, Croatia, and Montenegro, equivalent to Paul in English.
  • A. Predrag
    Predrag is the given first name of former Serbian professional basketball player Peja Stojaković.
  • B. Mihajlo
    Mihajlo is the Serbian given name of Michael I. Pupin, the renowned Serbian-American physicist, inventor, and Columbia University professor.
  • C. Petar
    Petar is a given name commonly used in Slavic countries, equivalent to the English name Peter.
  • D. Vlatko
    Vlatko is a masculine given name commonly used in Slavic countries, particularly in North Macedonia and other parts of the Balkans.
  • E. Rastko
    Rastko, later known as Saint Sava, was a medieval Serbian prince who became a monk and is revered as the founder of the Serbian Orthodox Church and a key figure in Serbian medieval culture and education.
  • 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_69ca83ee26cc81909ac624e190597d6d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cd03ec23ec8190993003a826372d40 completed April 1, 2026, 11:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69d077e977c48190ba46a48850a3da0a completed April 4, 2026, 2:31 a.m.
NEDg Description generation batch_69d07c3d6c1881908b267c2947b360d6 completed April 4, 2026, 2:49 a.m.
NED2 Entity disambiguation (via description) batch_69d07ca8bad48190a0d36c6deb96610f completed April 4, 2026, 2:51 a.m.
Created at: March 30, 2026, 7:30 p.m.