Triple

T1158257
Position Surface form Disambiguated ID Type / Status
Subject Neith E24432 entity
Predicate consort P13 FINISHED
Object Nun
Nun is the primordial watery chaos in ancient Egyptian mythology, representing the formless abyss from which creation first emerged.
 E131123 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: Nun | Statement: [Neith, consort, Nun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nun
Context triple: [Neith, consort, Nun]
  • A. Undun
    Undun is a concept album by hip hop band The Roots that narrates the rise and fall of a fictional young man through introspective, jazz-influenced production and storytelling.
  • B. Nana
    Nana is an 1880 naturalist novel by Émile Zola that follows the rise and fall of a Parisian courtesan as a critique of Second Empire society.
  • C. Nell
    Nell is a feminine given name, often used as a diminutive of names like Eleanor or Helen.
  • D. Lucilla
    Lucilla was a Roman imperial princess and daughter of Emperor Marcus Aurelius who became Empress as the wife of Lucius Verus and was later implicated in a plot against her brother Commodus.
  • E. Marian
    Marian is a given name of Latin origin commonly used in various European countries for both males and females.
  • 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: Nun
Triple: [Neith, consort, Nun]
Generated description
Nun is the primordial watery chaos in ancient Egyptian mythology, representing the formless abyss from which creation first emerged.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nun
Target entity description: Nun is the primordial watery chaos in ancient Egyptian mythology, representing the formless abyss from which creation first emerged.
  • A. Undun
    Undun is a concept album by hip hop band The Roots that narrates the rise and fall of a fictional young man through introspective, jazz-influenced production and storytelling.
  • B. Nana
    Nana is an 1880 naturalist novel by Émile Zola that follows the rise and fall of a Parisian courtesan as a critique of Second Empire society.
  • C. Nell
    Nell is a feminine given name, often used as a diminutive of names like Eleanor or Helen.
  • D. Lucilla
    Lucilla was a Roman imperial princess and daughter of Emperor Marcus Aurelius who became Empress as the wife of Lucius Verus and was later implicated in a plot against her brother Commodus.
  • E. Marian
    Marian is a given name of Latin origin commonly used in various European countries for both males and females.
  • 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_69a494060e148190abb42f971242c197 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bcab3cd08190ad06ea007042a8fc completed March 1, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac5eba03f081908c8bf99e6369080a completed March 7, 2026, 5:22 p.m.
NEDg Description generation batch_69ac5f47fd0c81909c23372559b8a5c4 completed March 7, 2026, 5:24 p.m.
NED2 Entity disambiguation (via description) batch_69ac5f9b8bf48190a42307ab7ef7d803 completed March 7, 2026, 5:25 p.m.
Created at: March 1, 2026, 7:45 p.m.