Triple

T29617326
Position Surface form Disambiguated ID Type / Status
Subject Rǫgnvaldr Óláfsson, King of Mann and the Isles E754896 entity
Predicate alsoKnownAs P39 FINISHED
Object Ragnvald Olafsson
Ragnvald Olafsson was a medieval Norse-Gaelic ruler who briefly held the kingship of the Isle of Man and the surrounding Hebridean isles.
E1879968 NE FINISHED

How this triple was built (2 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: Ragnvald Olafsson | Statement: [Rǫgnvaldr Óláfsson, King of Mann and the Isles, alsoKnownAs, Ragnvald Olafsson]
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: Ragnvald Olafsson
Triple: [Rǫgnvaldr Óláfsson, King of Mann and the Isles, alsoKnownAs, Ragnvald Olafsson]
Generated description
Ragnvald Olafsson was a medieval Norse-Gaelic ruler who briefly held the kingship of the Isle of Man and the surrounding Hebridean isles.

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_69f0ef85f62081909842b59fdf8717e1 completed April 28, 2026, 5:33 p.m.
NER Named-entity recognition batch_69f66e2198f88190b384af5844ab9415 completed May 2, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a267eaa2b60819096ded7476d797114 completed June 8, 2026, 8:34 a.m.
NEDg Description generation batch_6a26854a2c808190a6edb112d33e7060 completed June 8, 2026, 9:03 a.m.
NED2 Entity disambiguation (via description) batch_6a26891bff7881909e14cd4bdb71e602 completed June 8, 2026, 9:19 a.m.
Created at: April 28, 2026, 6:32 p.m.