Triple

T10930665
Position Surface form Disambiguated ID Type / Status
Subject Liutprand E258196 entity
Predicate predecessor P97 FINISHED
Object Ansprand
Ansprand was a briefly reigning early 8th-century King of the Lombards in Italy, known primarily as the father and predecessor of the powerful king Liutprand.
 E893409 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: Ansprand | Statement: [Liutprand, predecessor, Ansprand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ansprand
Context triple: [Liutprand, predecessor, Ansprand]
  • A. Asplund
    Asplund is a Swedish surname most notably associated with architect Gunnar Asplund, a key figure in Nordic Classicism and early modernist architecture.
  • B. Braunshardt
    Braunshardt is a district of the town of Weiterstadt in the state of Hesse, Germany.
  • C. Schrempf
    Schrempf is a German surname most notably associated with former NBA basketball player Detlef Schrempf.
  • D. Ascherson
    Ascherson is a surname most notably associated with British actress Renée Asherson.
  • E. Dannhauser
    Dannhauser is a small town and local municipality in KwaZulu-Natal, South Africa, known historically for coal mining and agriculture.
  • 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: Ansprand
Triple: [Liutprand, predecessor, Ansprand]
Generated description
Ansprand was a briefly reigning early 8th-century King of the Lombards in Italy, known primarily as the father and predecessor of the powerful king Liutprand.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ansprand
Target entity description: Ansprand was a briefly reigning early 8th-century King of the Lombards in Italy, known primarily as the father and predecessor of the powerful king Liutprand.
  • A. Asplund
    Asplund is a Swedish surname most notably associated with architect Gunnar Asplund, a key figure in Nordic Classicism and early modernist architecture.
  • B. Braunshardt
    Braunshardt is a district of the town of Weiterstadt in the state of Hesse, Germany.
  • C. Schrempf
    Schrempf is a German surname most notably associated with former NBA basketball player Detlef Schrempf.
  • D. Ascherson
    Ascherson is a surname most notably associated with British actress Renée Asherson.
  • E. Dannhauser
    Dannhauser is a small town and local municipality in KwaZulu-Natal, South Africa, known historically for coal mining and agriculture.
  • 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7709f92088190a15ae3638d3b14fb completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2175711d4819088f93bdf64ba4d3f completed April 17, 2026, 11:19 a.m.
NEDg Description generation batch_69e21e54e22881908726f088643edfd2 completed April 17, 2026, 11:49 a.m.
NED2 Entity disambiguation (via description) batch_69e21f1134d0819082fcc735da61d347 completed April 17, 2026, 11:52 a.m.
Created at: April 8, 2026, 9:22 p.m.