Triple

T35876532
Position Surface form Disambiguated ID Type / Status
Subject Sewadjkare LV E1037379 entity
Predicate nameInModernScholarship P78545 FINISHED
Object Sewadjkare V
Sewadjkare V is a little-known ancient Egyptian pharaoh, likely of the Second Intermediate Period, whose existence is primarily reconstructed from fragmentary king lists and modern Egyptological research.
 E2167736 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: Sewadjkare V | Statement: [Sewadjkare LV, nameInModernScholarship, Sewadjkare V]
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: Sewadjkare V
Triple: [Sewadjkare LV, nameInModernScholarship, Sewadjkare V]
Generated description
Sewadjkare V is a little-known ancient Egyptian pharaoh, likely of the Second Intermediate Period, whose existence is primarily reconstructed from fragmentary king lists and modern Egyptological research.

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_69f76e1e701c8190a4990d4978ce4fe6 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7a9cf898c8190a44abebae80aa70c completed May 3, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3e8c1749148190994a168e5329e623 completed June 26, 2026, 2:26 p.m.
NEDg Description generation batch_6a3e96557df881908bed0ebfb4f273bd completed June 26, 2026, 3:10 p.m.
NED2 Entity disambiguation (via description) batch_6a3ec88e91b8819099fa4ea8ad0b9649 completed June 26, 2026, 6:44 p.m.
Created at: May 3, 2026, 4:06 p.m.