Triple

T37689751
Position Surface form Disambiguated ID Type / Status
Subject Tanutamun E938471 entity
Predicate positionHeld P8 FINISHED
Object King of Kush
The King of Kush was the monarch of the ancient Nubian kingdom centered in what is now Sudan, known for its powerful rulers who at times controlled Egypt and maintained a rich, distinct African civilization along the Nile.
E2248058 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: King of Kush | Statement: [Tanutamun, positionHeld, King of Kush]
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: King of Kush
Triple: [Tanutamun, positionHeld, King of Kush]
Generated description
The King of Kush was the monarch of the ancient Nubian kingdom centered in what is now Sudan, known for its powerful rulers who at times controlled Egypt and maintained a rich, distinct African civilization along the Nile.

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_69f76ed881408190bc62a969530a4a53 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fbae009ddc8190903b2aca22666350 completed May 6, 2026, 9:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a410cabd76c8190ba9b032e1f425a34 completed June 28, 2026, 11:59 a.m.
NEDg Description generation batch_6a410d5215e88190b53f93c0bfc61bfd completed June 28, 2026, 12:02 p.m.
NED2 Entity disambiguation (via description) batch_6a410e09a0d48190aae6deab051064a3 completed June 28, 2026, 12:05 p.m.
Created at: May 3, 2026, 4:18 p.m.