Triple

T6980309
Position Surface form Disambiguated ID Type / Status
Subject Second Dynasty of Egypt E161825 entity
Predicate hasPharaoh P21274 FINISHED
Object Nynetjer
Nynetjer was an early Egyptian pharaoh of the Second Dynasty, known from archaeological and inscriptional evidence as a ruler during the formative period of the ancient Egyptian state.
 E634046 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: Nynetjer | Statement: [Second Dynasty of Egypt, hasPharaoh, Nynetjer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nynetjer
Context triple: [Second Dynasty of Egypt, hasPharaoh, Nynetjer]
  • A. Netersel
    Netersel is a small village in the Dutch province of North Brabant, known for its rural character and location within the municipality of Bladel.
  • B. Nete
    The Nete is a river in Belgium that flows through the Flemish region and serves as one of the main tributaries forming the Rupel River.
  • C. The Net
    The Net is a 1995 techno-thriller film starring Sandra Bullock as a computer analyst whose identity is erased by cybercriminals, directed by Irwin Winkler.
  • D. The Netmen
    The Netmen is a musical group known for its association with musician Bill Schneider.
  • E. Netinera
    Netinera is a major private rail and bus transport company operating regional passenger services across Germany.
  • 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: Nynetjer
Triple: [Second Dynasty of Egypt, hasPharaoh, Nynetjer]
Generated description
Nynetjer was an early Egyptian pharaoh of the Second Dynasty, known from archaeological and inscriptional evidence as a ruler during the formative period of the ancient Egyptian state.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nynetjer
Target entity description: Nynetjer was an early Egyptian pharaoh of the Second Dynasty, known from archaeological and inscriptional evidence as a ruler during the formative period of the ancient Egyptian state.
  • A. Netersel
    Netersel is a small village in the Dutch province of North Brabant, known for its rural character and location within the municipality of Bladel.
  • B. Nete
    The Nete is a river in Belgium that flows through the Flemish region and serves as one of the main tributaries forming the Rupel River.
  • C. The Net
    The Net is a 1995 techno-thriller film starring Sandra Bullock as a computer analyst whose identity is erased by cybercriminals, directed by Irwin Winkler.
  • D. The Netmen
    The Netmen is a musical group known for its association with musician Bill Schneider.
  • E. Netinera
    Netinera is a major private rail and bus transport company operating regional passenger services across Germany.
  • 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_69c68855dc0481909b4c7e9e9ed273db completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db6c1efc8190ab1575ae2ce726db completed March 27, 2026, 7:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c761bb90f48190882a58c2da10b3e4 completed March 28, 2026, 5:06 a.m.
NEDg Description generation batch_69c763d0e5d481909a98dd01806264f1 completed March 28, 2026, 5:14 a.m.
NED2 Entity disambiguation (via description) batch_69c764580f888190872ca1d2230648e8 completed March 28, 2026, 5:17 a.m.
Created at: March 27, 2026, 2:31 p.m.