Triple

T10204352
Position Surface form Disambiguated ID Type / Status
Subject Seti I E238964 entity
Predicate mother P120 FINISHED
Object Sitre
Sitre was an ancient Egyptian queen of the 19th Dynasty, best known as the wife of Pharaoh Ramesses I and the mother of Pharaoh Seti I.
 E846623 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: Sitre | Statement: [Seti I, mother, Sitre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sitre
Context triple: [Seti I, mother, Sitre]
  • A. Sitra
    Sitra is a small island in Bahrain known for its residential communities, industrial facilities, and role in the country’s oil and gas infrastructure.
  • B. Sieda
    Sieda is the surname of Abdulbaset Sieda, a Syrian-Kurdish academic and opposition political figure.
  • C. Sutrio
    Sutrio is a small village in Italy’s Friuli-Venezia Giulia region, known as a traditional Alpine community and a base for accessing the nearby Monte Zoncolan ski and cycling area.
  • D. Sospel
    Sospel is a historic village in southeastern France near the Italian border, known for its medieval architecture and picturesque setting in the Maritime Alps.
  • E. Sessa
    Sessa is a small municipality in the canton of Ticino in southern Switzerland, near the Italian border.
  • 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: Sitre
Triple: [Seti I, mother, Sitre]
Generated description
Sitre was an ancient Egyptian queen of the 19th Dynasty, best known as the wife of Pharaoh Ramesses I and the mother of Pharaoh Seti I.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sitre
Target entity description: Sitre was an ancient Egyptian queen of the 19th Dynasty, best known as the wife of Pharaoh Ramesses I and the mother of Pharaoh Seti I.
  • A. Sitra
    Sitra is a small island in Bahrain known for its residential communities, industrial facilities, and role in the country’s oil and gas infrastructure.
  • B. Sieda
    Sieda is the surname of Abdulbaset Sieda, a Syrian-Kurdish academic and opposition political figure.
  • C. Sutrio
    Sutrio is a small village in Italy’s Friuli-Venezia Giulia region, known as a traditional Alpine community and a base for accessing the nearby Monte Zoncolan ski and cycling area.
  • D. Sospel
    Sospel is a historic village in southeastern France near the Italian border, known for its medieval architecture and picturesque setting in the Maritime Alps.
  • E. Sessa
    Sessa is a small municipality in the canton of Ticino in southern Switzerland, near the Italian border.
  • 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_69ca84e1ea088190b38162e43d4cfa8f completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdeed8644c8190b497aaf52583fa6d completed April 2, 2026, 4:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69d318026ee88190961288fdbde73b08 completed April 6, 2026, 2:18 a.m.
NEDg Description generation batch_69d318a95450819086cd07610de39a55 completed April 6, 2026, 2:21 a.m.
NED2 Entity disambiguation (via description) batch_69d319593c908190adc43bc2a213211f completed April 6, 2026, 2:24 a.m.
Created at: March 30, 2026, 9:14 p.m.