Triple

T12909809
Position Surface form Disambiguated ID Type / Status
Subject Bavarian dynasty E308824 entity
Predicate hasMember P10 FINISHED
Object Cunincpert
Cunincpert was a 7th-century King of the Lombards known for consolidating royal authority in Italy and supporting the Catholic Church.
E1010472 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: Cunincpert | Statement: [Bavarian dynasty, hasMember, Cunincpert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cunincpert
Context triple: [Bavarian dynasty, hasMember, Cunincpert]
  • A. Theudigisel
    Theudigisel was a 6th-century Visigothic king of Hispania and Septimania whose short and turbulent reign was marked by military conflict and internal instability.
  • B. Gundemar
    Gundemar was a 7th-century Visigothic king of Hispania and Septimania who ruled briefly before being succeeded by Sisebut.
  • C. Tacenwit
    Tacenwit is an alternative name for the Shenwa language, a Zenati Berber language spoken in northern Algeria.
  • D. Reginherus
    Reginherus is a Germanic personal name, historically related to and cognate with the legendary Norse name Ragnar.
  • E. Thankmar
    Thankmar was a 10th-century German nobleman and the eldest son of King Henry the Fowler, whose disputed legitimacy led to his rebellion against his half-brother Otto I.
  • 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: Cunincpert
Triple: [Bavarian dynasty, hasMember, Cunincpert]
Generated description
Cunincpert was a 7th-century King of the Lombards known for consolidating royal authority in Italy and supporting the Catholic Church.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cunincpert
Target entity description: Cunincpert was a 7th-century King of the Lombards known for consolidating royal authority in Italy and supporting the Catholic Church.
  • A. Theudigisel
    Theudigisel was a 6th-century Visigothic king of Hispania and Septimania whose short and turbulent reign was marked by military conflict and internal instability.
  • B. Gundemar
    Gundemar was a 7th-century Visigothic king of Hispania and Septimania who ruled briefly before being succeeded by Sisebut.
  • C. Tacenwit
    Tacenwit is an alternative name for the Shenwa language, a Zenati Berber language spoken in northern Algeria.
  • D. Reginherus
    Reginherus is a Germanic personal name, historically related to and cognate with the legendary Norse name Ragnar.
  • E. Thankmar
    Thankmar was a 10th-century German nobleman and the eldest son of King Henry the Fowler, whose disputed legitimacy led to his rebellion against his half-brother Otto I.
  • 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_69d7bdf92b588190acdf2a2291ac4590 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9719e584c81909be1ac1366effca0 completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af5c133c81908b52fc18262c819d completed May 3, 2026, 2:13 a.m.
NEDg Description generation batch_69f6b02e3b9881909387c1f70176a1bd completed May 3, 2026, 2:17 a.m.
NED2 Entity disambiguation (via description) batch_69f6b11ced30819090f67a0b1e1369aa completed May 3, 2026, 2:21 a.m.
Created at: April 9, 2026, 5:41 p.m.