Triple

T10164333
Position Surface form Disambiguated ID Type / Status
Subject Wamba E233968 entity
Predicate successor P78 FINISHED
Object Erwig
Erwig was a 7th-century Visigothic king of Hispania and Septimania known for his legal reforms and religious policies.
 E846675 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: Erwig | Statement: [Wamba, successor, Erwig]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Erwig
Context triple: [Wamba, successor, Erwig]
  • A. Merovech
    Merovech is the semi-legendary Frankish leader regarded as the ancestral founder of the Merovingian royal dynasty in early medieval Gaul.
  • B. Ingenried
    Ingenried is a small rural municipality in the Weilheim-Schongau district of Bavaria in southern Germany.
  • C. Wulfram
    Wulfram is an alternative spelling or variant form of the name Wolfram, which is associated with both a given name and the chemical element tungsten.
  • D. Elfwine
    Elfwine is a fictional prince of Rohan in J.R.R. Tolkien’s legendarium, known as the son and heir of King Éomer.
  • E. Reginherus
    Reginherus is a Germanic personal name, historically related to and cognate with the legendary Norse name Ragnar.
  • 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: Erwig
Triple: [Wamba, successor, Erwig]
Generated description
Erwig was a 7th-century Visigothic king of Hispania and Septimania known for his legal reforms and religious policies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Erwig
Target entity description: Erwig was a 7th-century Visigothic king of Hispania and Septimania known for his legal reforms and religious policies.
  • A. Merovech
    Merovech is the semi-legendary Frankish leader regarded as the ancestral founder of the Merovingian royal dynasty in early medieval Gaul.
  • B. Ingenried
    Ingenried is a small rural municipality in the Weilheim-Schongau district of Bavaria in southern Germany.
  • C. Wulfram
    Wulfram is an alternative spelling or variant form of the name Wolfram, which is associated with both a given name and the chemical element tungsten.
  • D. Elfwine
    Elfwine is a fictional prince of Rohan in J.R.R. Tolkien’s legendarium, known as the son and heir of King Éomer.
  • E. Reginherus
    Reginherus is a Germanic personal name, historically related to and cognate with the legendary Norse name Ragnar.
  • 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_69ca848e80748190b91d1e04d35512c7 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec6b96dc8190ae37d0d28e4c393b completed April 2, 2026, 4:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d31774617c8190848ad4990fe5801d completed April 6, 2026, 2:16 a.m.
NEDg Description generation batch_69d31851a9c481908952592e6362b79f completed April 6, 2026, 2:20 a.m.
NED2 Entity disambiguation (via description) batch_69d318c0cb8081909cfd53e586192ae7 completed April 6, 2026, 2:21 a.m.
Created at: March 30, 2026, 9:09 p.m.