Triple

T19978887
Position Surface form Disambiguated ID Type / Status
Subject Heardred E493762 entity
Predicate ethnicity P194 FINISHED
Object Geat
A Geat was a member of an ancient North Germanic people from southern Sweden, known from early medieval history and Old English literature such as Beowulf.
 E1403974 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: Geat | Statement: [Heardred, ethnicity, Geat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Geat
Context triple: [Heardred, ethnicity, Geat]
  • A. Jochid
    The Jochid were the lineage and followers of Jochi, eldest son of Genghis Khan, forming the ruling house of the Golden Horde and other western Mongol domains.
  • B. Keiyo
    Keiyo is a Southern Nilotic language spoken primarily by the Keiyo people of Kenya’s Rift Valley region.
  • C. Nihondaira
    Nihondaira is a scenic plateau in Shizuoka Prefecture, Japan, famed for its panoramic views of Mount Fuji, Suruga Bay, and the surrounding tea fields.
  • D. Gotō
    Gotō is a Japanese surname borne by various notable figures in politics, business, and the arts.
  • E. Seiyo
    Seiyo is a city located in western Shikoku, Japan, known for its rural landscapes, terraced fields, and coastal scenery along the Uwa Sea.
  • 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: Geat
Triple: [Heardred, ethnicity, Geat]
Generated description
A Geat was a member of an ancient North Germanic people from southern Sweden, known from early medieval history and Old English literature such as Beowulf.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Geat
Target entity description: A Geat was a member of an ancient North Germanic people from southern Sweden, known from early medieval history and Old English literature such as Beowulf.
  • A. Jochid
    The Jochid were the lineage and followers of Jochi, eldest son of Genghis Khan, forming the ruling house of the Golden Horde and other western Mongol domains.
  • B. Keiyo
    Keiyo is a Southern Nilotic language spoken primarily by the Keiyo people of Kenya’s Rift Valley region.
  • C. Nihondaira
    Nihondaira is a scenic plateau in Shizuoka Prefecture, Japan, famed for its panoramic views of Mount Fuji, Suruga Bay, and the surrounding tea fields.
  • D. Gotō
    Gotō is a Japanese surname borne by various notable figures in politics, business, and the arts.
  • E. Seiyo
    Seiyo is a city located in western Shikoku, Japan, known for its rural landscapes, terraced fields, and coastal scenery along the Uwa Sea.
  • 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.