Triple

T3657340
Position Surface form Disambiguated ID Type / Status
Subject Thutmose III E77562 entity
Predicate spouse P13 FINISHED
Object Satiah
Satiah was an ancient Egyptian queen of the 18th Dynasty, known as one of the principal wives of Pharaoh Thutmose III.
 E377282 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: Satiah | Statement: [Thutmose III, spouse, Satiah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Satiah
Context triple: [Thutmose III, spouse, Satiah]
  • A. Sucharita
    Sucharita is a central female character in Rabindranath Tagore’s Bengali novel "Gora," known for her introspective nature and evolving views on identity, religion, and social norms.
  • B. Tarabai
    Tarabai was a prominent Maratha queen and regent known for leading the Maratha resistance against the Mughal Empire in the early 18th century.
  • C. Gopikabai
    Gopikabai was the wife of Peshwa Balaji Baji Rao and a prominent Maratha noblewoman known for her influence in 18th-century Maratha politics.
  • D. Nabaneeta
    Nabaneeta is a feminine given name most notably borne by the acclaimed Indian Bengali writer and academic Nabaneeta Dev Sen.
  • E. Santha Faiia
    Santha Faiia is a photographer known for her work documenting ancient sacred sites and for being married to author and researcher Graham Hancock.
  • 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: Satiah
Triple: [Thutmose III, spouse, Satiah]
Generated description
Satiah was an ancient Egyptian queen of the 18th Dynasty, known as one of the principal wives of Pharaoh Thutmose III.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Satiah
Target entity description: Satiah was an ancient Egyptian queen of the 18th Dynasty, known as one of the principal wives of Pharaoh Thutmose III.
  • A. Sucharita
    Sucharita is a central female character in Rabindranath Tagore’s Bengali novel "Gora," known for her introspective nature and evolving views on identity, religion, and social norms.
  • B. Tarabai
    Tarabai was a prominent Maratha queen and regent known for leading the Maratha resistance against the Mughal Empire in the early 18th century.
  • C. Gopikabai
    Gopikabai was the wife of Peshwa Balaji Baji Rao and a prominent Maratha noblewoman known for her influence in 18th-century Maratha politics.
  • D. Nabaneeta
    Nabaneeta is a feminine given name most notably borne by the acclaimed Indian Bengali writer and academic Nabaneeta Dev Sen.
  • E. Santha Faiia
    Santha Faiia is a photographer known for her work documenting ancient sacred sites and for being married to author and researcher Graham Hancock.
  • 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_69ad85def5cc8190863dccf55a18bebb completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3d36c1c8190920397a75de4c47d completed March 8, 2026, 6:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4884071c881909daae2f3c510d399 completed March 13, 2026, 9:57 p.m.
NEDg Description generation batch_69b48ce33a208190bd7cf894a11497a1 completed March 13, 2026, 10:17 p.m.
NED2 Entity disambiguation (via description) batch_69b4aed7f4008190b5adbf3a89f4b5bd completed March 14, 2026, 12:42 a.m.
Created at: March 8, 2026, 3:24 p.m.