Triple

T19826468
Position Surface form Disambiguated ID Type / Status
Subject Smendes I E476337 entity
Predicate spouse P13 FINISHED
Object Tentamun
Tentamun was an ancient Egyptian queen of the 21st Dynasty, likely of royal lineage, who became the consort of Pharaoh Smendes I during the early Third Intermediate Period.
E1397312 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: Tentamun | Statement: [Smendes I, spouse, Tentamun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tentamun
Context triple: [Smendes I, spouse, Tentamun]
  • A. Entemena
    Entemena was an early dynastic Sumerian ruler of the city-state of Lagash, known for consolidating its power and commissioning some of the earliest known royal inscriptions.
  • B. Tjenenyet
    Tjenenyet is an ancient Egyptian goddess associated with protection and often linked to the war god Montu as his consort.
  • C. Tertulla
    Tertulla was a Roman noblewoman of the late Republic, best known as the wife of the powerful general and politician Marcus Licinius Crassus.
  • D. Tabasaran
    Tabasaran is a Northeast Caucasian language spoken primarily by the Tabasaran people in southern Dagestan, Russia.
  • E. Tadamine
    Tadamine is a Japanese given name historically borne by figures such as the Heian-period waka poet Mibu no Tadamine.
  • 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: Tentamun
Triple: [Smendes I, spouse, Tentamun]
Generated description
Tentamun was an ancient Egyptian queen of the 21st Dynasty, likely of royal lineage, who became the consort of Pharaoh Smendes I during the early Third Intermediate Period.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tentamun
Target entity description: Tentamun was an ancient Egyptian queen of the 21st Dynasty, likely of royal lineage, who became the consort of Pharaoh Smendes I during the early Third Intermediate Period.
  • A. Entemena
    Entemena was an early dynastic Sumerian ruler of the city-state of Lagash, known for consolidating its power and commissioning some of the earliest known royal inscriptions.
  • B. Tjenenyet
    Tjenenyet is an ancient Egyptian goddess associated with protection and often linked to the war god Montu as his consort.
  • C. Tertulla
    Tertulla was a Roman noblewoman of the late Republic, best known as the wife of the powerful general and politician Marcus Licinius Crassus.
  • D. Tabasaran
    Tabasaran is a Northeast Caucasian language spoken primarily by the Tabasaran people in southern Dagestan, Russia.
  • E. Tadamine
    Tadamine is a Japanese given name historically borne by figures such as the Heian-period waka poet Mibu no Tadamine.
  • 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_69d8e51c7c188190b926f3a2a7b5f881 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e656cb20788190b9deac6b8af6a55d completed April 20, 2026, 4:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07ccd3f4308190879396a336026a83 completed May 16, 2026, 1:48 a.m.
NEDg Description generation batch_6a07cf6713108190a887b91e26da1ca5 completed May 16, 2026, 1:59 a.m.
NED2 Entity disambiguation (via description) batch_6a07d008357081908bff9ebfbda41ba1 completed May 16, 2026, 2:01 a.m.
Created at: April 10, 2026, 1:50 p.m.