Triple

T5094073
Position Surface form Disambiguated ID Type / Status
Subject Hrothgar E114823 entity
Predicate hasChild P369 FINISHED
Object Hrothmund
Hrothmund is a legendary Danish prince from the Old English epic Beowulf, known as one of King Hrothgar’s sons and a member of the Scylding royal line.
 E493756 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: Hrothmund | Statement: [Hrothgar, hasChild, Hrothmund]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hrothmund
Context triple: [Hrothgar, hasChild, Hrothmund]
  • A. Alfrid
    Alfrid is a masculine given name of Germanic origin, commonly associated with medieval and fantasy settings.
  • B. Sigfrid of Sweden
    Sigfrid of Sweden was an English missionary bishop and saint traditionally credited with helping to introduce and spread Christianity in early medieval Sweden.
  • C. Sigurd
    Sigurd is a masculine given name of Old Norse origin, historically associated with legendary heroes and figures in Scandinavian culture.
  • D. Hrólfr
    Hrólfr, better known as Rollo, was a Viking leader who became the first ruler of Normandy in the early 10th century.
  • E. Ulf
    Ulf is a masculine given name of Germanic origin, commonly used in German and Scandinavian countries.
  • 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: Hrothmund
Triple: [Hrothgar, hasChild, Hrothmund]
Generated description
Hrothmund is a legendary Danish prince from the Old English epic Beowulf, known as one of King Hrothgar’s sons and a member of the Scylding royal line.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hrothmund
Target entity description: Hrothmund is a legendary Danish prince from the Old English epic Beowulf, known as one of King Hrothgar’s sons and a member of the Scylding royal line.
  • A. Alfrid
    Alfrid is a masculine given name of Germanic origin, commonly associated with medieval and fantasy settings.
  • B. Sigfrid of Sweden
    Sigfrid of Sweden was an English missionary bishop and saint traditionally credited with helping to introduce and spread Christianity in early medieval Sweden.
  • C. Sigurd
    Sigurd is a masculine given name of Old Norse origin, historically associated with legendary heroes and figures in Scandinavian culture.
  • D. Hrólfr
    Hrólfr, better known as Rollo, was a Viking leader who became the first ruler of Normandy in the early 10th century.
  • E. Ulf
    Ulf is a masculine given name of Germanic origin, commonly used in German and Scandinavian countries.
  • 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_69bd443fc49c819089629c00e311310c completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd75454920819086e09d6055087e40 completed March 20, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba76ef188190ab31623d1a44ebb9 completed March 21, 2026, 3:34 p.m.
NEDg Description generation batch_69bebb8e5f1c819082f0b59e9524d6e8 completed March 21, 2026, 3:38 p.m.
NED2 Entity disambiguation (via description) batch_69bebc30029081909b5c937308fefcf2 completed March 21, 2026, 3:41 p.m.
Created at: March 20, 2026, 1:40 p.m.