Triple

T36908281
Position Surface form Disambiguated ID Type / Status
Subject Ban of Croatia E912835 entity
Predicate positionHeldBy P8 FINISHED
Object Ladislav Pejačević
Ladislav Pejačević was a 19th-century Croatian nobleman and statesman who served as the leading political figure of the Kingdom of Croatia within the Habsburg Monarchy.
E2261566 NE FINISHED

How this triple was built (2 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: Ladislav Pejačević | Statement: [Ban of Croatia, positionHeldBy, Ladislav Pejačević]
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: Ladislav Pejačević
Triple: [Ban of Croatia, positionHeldBy, Ladislav Pejačević]
Generated description
Ladislav Pejačević was a 19th-century Croatian nobleman and statesman who served as the leading political figure of the Kingdom of Croatia within the Habsburg Monarchy.

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_69f76e879768819085c2fb31a6a5b44b completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f9fdac94a0819090d0dd980eb38377 completed May 5, 2026, 2:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41852434148190ae0f95949e35db48 completed June 28, 2026, 8:33 p.m.
NEDg Description generation batch_6a4189f025b881909ae2941adacb81d4 completed June 28, 2026, 8:54 p.m.
NED2 Entity disambiguation (via description) batch_6a418a6539108190ad85de6e8da19d8f completed June 28, 2026, 8:56 p.m.
Created at: May 3, 2026, 4:13 p.m.