Triple

T34161648

Position	Surface form	Disambiguated ID	Type / Status
Subject	Andhrimnir	`E876291`	entity
Predicate	cooks	`P5292`	FINISHED
Object	Sæhrímnir Sæhrímnir is the ever-regenerating boar of Norse mythology whose meat feeds the gods and fallen warriors in Valhalla each day.	`E2084236`	NE FINISHED

How this triple was built (3 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: Sæhrímnir | Statement: [Andhrimnir, cooks, Sæhrímnir]

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: Sæhrímnir
Triple: [Andhrimnir, cooks, Sæhrímnir]

Generated description

Sæhrímnir is the ever-regenerating boar of Norse mythology whose meat feeds the gods and fallen warriors in Valhalla each day.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: cooks
Context triple: [Andhrimnir, cooks, Sæhrímnir]

A. cooksSimilarTo
Indicates that one entity prepares or cooks food in a way that is similar to how another entity does.
B. isCookedBy chosen
Indicates that something has been prepared or made ready for eating through cooking by a particular agent.
C. chef
Indicates that one entity serves as the cook or culinary professional responsible for preparing food for another entity or context.
D. worksInKitchenAt
Indicates that an entity performs work or duties in the kitchen area of a specified location or organization.
E. cuisine
Indicates the type or style of food traditionally associated with or served by an entity (such as a restaurant or region).
F. None of above.

Provenance (6 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_69f349ac987481908a8e6053f665bc8b`	completed	April 30, 2026, 12:23 p.m.
NER	Named-entity recognition	`batch_69f70fdedf708190ab68c2d567e086d0`	completed	May 3, 2026, 9:05 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a36c1d39e7881908601d1e568712de0`	completed	June 20, 2026, 4:37 p.m.
NEDg	Description generation	`batch_6a36c265a4588190b415159def7d4690`	completed	June 20, 2026, 4:40 p.m.
NED2	Entity disambiguation (via description)	`batch_6a36c4cc187081908cd56a998ab5c90d`	completed	June 20, 2026, 4:50 p.m.
PD	Predicate disambiguation	`batch_69f70f3c5bfc81908585f52e196dafe5`	completed	May 3, 2026, 9:02 a.m.

Created at: May 1, 2026, 1:54 a.m.