Triple

T9758393
Position Surface form Disambiguated ID Type / Status
Subject Mentuhotep II E236608 entity
Predicate spouse P13 FINISHED
Object Ashayet
Ashayet was an ancient Egyptian queen and consort of the 11th Dynasty pharaoh Mentuhotep II, known from her richly decorated tomb at Deir el-Bahari.
E818156 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: Ashayet | Statement: [Mentuhotep II, spouse, Ashayet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ashayet
Context triple: [Mentuhotep II, spouse, Ashayet]
  • A. Aykah
    Aykah is a community mentioned in Islamic tradition as the people to whom the prophet Shu'ayb was sent, known for their wrongdoing and subsequent divine punishment.
  • B. Shalateen
    Shalateen is a remote Egyptian town near the Sudanese border, known for its Bedouin communities, camel markets, and strategic location along the Red Sea coast.
  • C. Aydat
    Aydat is a commune in central France’s Puy-de-Dôme department, known for its volcanic landscapes and the nearby Lac d’Aydat, a popular natural lake for recreation.
  • D. Ayan
    Ayan is a 2009 Tamil-language action thriller film starring Suriya, known for its smuggling-centric plot and commercial success.
  • E. Afif
    Afif is a town in central Saudi Arabia known as an inland community within the Riyadh administrative region.
  • 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: Ashayet
Triple: [Mentuhotep II, spouse, Ashayet]
Generated description
Ashayet was an ancient Egyptian queen and consort of the 11th Dynasty pharaoh Mentuhotep II, known from her richly decorated tomb at Deir el-Bahari.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ashayet
Target entity description: Ashayet was an ancient Egyptian queen and consort of the 11th Dynasty pharaoh Mentuhotep II, known from her richly decorated tomb at Deir el-Bahari.
  • A. Aykah
    Aykah is a community mentioned in Islamic tradition as the people to whom the prophet Shu'ayb was sent, known for their wrongdoing and subsequent divine punishment.
  • B. Shalateen
    Shalateen is a remote Egyptian town near the Sudanese border, known for its Bedouin communities, camel markets, and strategic location along the Red Sea coast.
  • C. Aydat
    Aydat is a commune in central France’s Puy-de-Dôme department, known for its volcanic landscapes and the nearby Lac d’Aydat, a popular natural lake for recreation.
  • D. Ayan
    Ayan is a 2009 Tamil-language action thriller film starring Suriya, known for its smuggling-centric plot and commercial success.
  • E. Afif
    Afif is a town in central Saudi Arabia known as an inland community within the Riyadh administrative region.
  • 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_69ca84d64f6c8190a4ed4e9f5936eda5 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda047d0408190b91f7195513da6e8 completed April 1, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1b035c32c8190ad65f3d57d53a317 completed April 5, 2026, 12:43 a.m.
NEDg Description generation batch_69d1b0dde93881908fcec28de9cfa99d completed April 5, 2026, 12:46 a.m.
NED2 Entity disambiguation (via description) batch_69d1b1bbe6108190af17b75f79c0f465 completed April 5, 2026, 12:50 a.m.
Created at: March 30, 2026, 8:24 p.m.