Triple

T6137129
Position Surface form Disambiguated ID Type / Status
Subject Casimir III the Great E136861 entity
Predicate givenName P17 FINISHED
Object Casimir
Casimir was the given name of Casimir III the Great, the 14th-century king of Poland known for strengthening and reforming the Polish state.
 E571585 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: Casimir | Statement: [Casimir III the Great, givenName, Casimir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Casimir
Context triple: [Casimir III the Great, givenName, Casimir]
  • A. Ramciel
    Ramciel is a proposed master-planned city intended to become the future capital of South Sudan.
  • B. Fiser
    Fiser is a surname variant of Fischer, commonly associated with Central or Eastern European origins.
  • C. Cassibile
    Cassibile is a village in southeastern Sicily, Italy, historically notable as the site where the 1943 armistice between Italy and the Allies was signed during World War II.
  • D. Wallach
    Wallach is a surname and given name of Germanic origin, historically associated with Central and Eastern Europe and borne by various notable figures in arts, science, and public life.
  • E. Erwin
    Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
  • 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: Casimir
Triple: [Casimir III the Great, givenName, Casimir]
Generated description
Casimir was the given name of Casimir III the Great, the 14th-century king of Poland known for strengthening and reforming the Polish state.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Casimir
Target entity description: Casimir was the given name of Casimir III the Great, the 14th-century king of Poland known for strengthening and reforming the Polish state.
  • A. Ramciel
    Ramciel is a proposed master-planned city intended to become the future capital of South Sudan.
  • B. Fiser
    Fiser is a surname variant of Fischer, commonly associated with Central or Eastern European origins.
  • C. Cassibile
    Cassibile is a village in southeastern Sicily, Italy, historically notable as the site where the 1943 armistice between Italy and the Allies was signed during World War II.
  • D. Wallach
    Wallach is a surname and given name of Germanic origin, historically associated with Central and Eastern Europe and borne by various notable figures in arts, science, and public life.
  • E. Erwin
    Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
  • 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_69c008a179388190a3b5a081bbf46d55 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05c83aefc8190b0e250e96f2b10b4 completed March 22, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c135e78950819085a2fdd7538af4cb completed March 23, 2026, 12:45 p.m.
NEDg Description generation batch_69c138c23b7481909a647ed8565d25f2 completed March 23, 2026, 12:57 p.m.
NED2 Entity disambiguation (via description) batch_69c1391f17d08190952420bff4dd26f9 completed March 23, 2026, 12:59 p.m.
Created at: March 22, 2026, 4:15 p.m.