Triple
T15127025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grímnismál |
E361316
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Agnar
Agnar is a character from Norse mythology who appears in the Eddic poem Grímnismál, where he plays a role in the tale of Odin’s testing and revelation.
|
E1138696
|
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: Agnar | Statement: [Grímnismál, featuresCharacter, Agnar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agnar Context triple: [Grímnismál, featuresCharacter, Agnar]
-
A.
Gautar
Gautar is the Old Norse name for the Geats, a North Germanic people historically inhabiting what is now southern Sweden.
-
B.
Gardar
Gardar was the principal ecclesiastical and administrative center of the Norse settlements in medieval Greenland, serving as the seat of the bishopric.
-
C.
Geir
Geir is a masculine given name of Old Norse origin, commonly used in Scandinavian countries and meaning "spear."
-
D.
Geirröd
Geirröd is a fearsome giant from Norse mythology, best known for luring the god Thor into a deadly trap in his hall in Jotunheim.
-
E.
Agnarr
Agnarr is the king of Arendelle and father of Elsa and Anna in Disney’s Frozen franchise, known for his fateful connection to the Enchanted Forest.
- 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: Agnar Triple: [Grímnismál, featuresCharacter, Agnar]
Generated description
Agnar is a character from Norse mythology who appears in the Eddic poem Grímnismál, where he plays a role in the tale of Odin’s testing and revelation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Agnar Target entity description: Agnar is a character from Norse mythology who appears in the Eddic poem Grímnismál, where he plays a role in the tale of Odin’s testing and revelation.
-
A.
Gautar
Gautar is the Old Norse name for the Geats, a North Germanic people historically inhabiting what is now southern Sweden.
-
B.
Gardar
Gardar was the principal ecclesiastical and administrative center of the Norse settlements in medieval Greenland, serving as the seat of the bishopric.
-
C.
Geir
Geir is a masculine given name of Old Norse origin, commonly used in Scandinavian countries and meaning "spear."
-
D.
Geirröd
Geirröd is a fearsome giant from Norse mythology, best known for luring the god Thor into a deadly trap in his hall in Jotunheim.
-
E.
Agnarr
Agnarr is the king of Arendelle and father of Elsa and Anna in Disney’s Frozen franchise, known for his fateful connection to the Enchanted Forest.
- 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_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005a1b9288190954f2d92549805e5 |
completed | April 15, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7f865c08190ab8fd15c14d0c06c |
completed | May 9, 2026, 4:28 a.m. |
| NEDg | Description generation | batch_69feba6899c481909651fec7459a0206 |
completed | May 9, 2026, 4:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69febae016188190bb44709a8c3b01c3 |
completed | May 9, 2026, 4:41 a.m. |
Created at: April 10, 2026, 3:06 a.m.