Triple

T19978607
Position Surface form Disambiguated ID Type / Status
Subject Wealhtheow E493755 entity
Predicate interactsWith P3970 FINISHED
Object Unferth
Unferth is a Danish warrior and courtier in the Old English epic poem "Beowulf," known for challenging Beowulf’s reputation before later lending him his sword.
 E1403967 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: Unferth | Statement: [Wealhtheow, interactsWith, Unferth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Unferth
Context triple: [Wealhtheow, interactsWith, Unferth]
  • A. Gunnar
    Gunnar is a masculine given name of Old Norse origin, commonly used in Scandinavian countries and associated with warriors or bold fighters.
  • B. Heimir the Fool
    Heimir the Fool is a supporting character in the Viking revenge film "The Northman," serving as a prophetic jester who offers cryptic guidance to the protagonist.
  • C. Helgi
    Helgi is an Icelandic given name commonly used for males and rooted in Old Norse tradition.
  • D. Egil
    Egil is a masculine given name of Old Norse origin, traditionally used in Scandinavian countries.
  • E. Thoralf
    Thoralf is a masculine given name of Scandinavian origin, most notably borne by the Norwegian mathematician and logician Thoralf Skolem.
  • 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: Unferth
Triple: [Wealhtheow, interactsWith, Unferth]
Generated description
Unferth is a Danish warrior and courtier in the Old English epic poem "Beowulf," known for challenging Beowulf’s reputation before later lending him his sword.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Unferth
Target entity description: Unferth is a Danish warrior and courtier in the Old English epic poem "Beowulf," known for challenging Beowulf’s reputation before later lending him his sword.
  • A. Gunnar
    Gunnar is a masculine given name of Old Norse origin, commonly used in Scandinavian countries and associated with warriors or bold fighters.
  • B. Heimir the Fool
    Heimir the Fool is a supporting character in the Viking revenge film "The Northman," serving as a prophetic jester who offers cryptic guidance to the protagonist.
  • C. Helgi
    Helgi is an Icelandic given name commonly used for males and rooted in Old Norse tradition.
  • D. Egil
    Egil is a masculine given name of Old Norse origin, traditionally used in Scandinavian countries.
  • E. Thoralf
    Thoralf is a masculine given name of Scandinavian origin, most notably borne by the Norwegian mathematician and logician Thoralf Skolem.
  • 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_69da626a67648190af9653832a3aeced completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65d11108481908241a2a96a795a7d completed April 20, 2026, 5:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07fddbb1fc8190b5e5bd429e80e6d5 completed May 16, 2026, 5:17 a.m.
NEDg Description generation batch_6a07feea266c81909da71d549a8857d3 completed May 16, 2026, 5:21 a.m.
NED2 Entity disambiguation (via description) batch_6a07ff598550819093b6303a88dfefd2 completed May 16, 2026, 5:23 a.m.
Created at: April 11, 2026, 3:27 p.m.