Triple

T32680977
Position Surface form Disambiguated ID Type / Status
Subject Sekhemre Khutawy Sobekhotep E835582 entity
Predicate hasPrenomen P70695 FINISHED
Object Sekhemre Khutawy
Sekhemre Khutawy was the throne name (prenomen) of the ancient Egyptian pharaoh Sekhemre Khutawy Sobekhotep, an early ruler of the Second Intermediate Period.
 E2022459 NE FINISHED

How this triple was built (3 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: Sekhemre Khutawy | Statement: [Sekhemre Khutawy Sobekhotep, hasPrenomen, Sekhemre Khutawy]
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: Sekhemre Khutawy
Triple: [Sekhemre Khutawy Sobekhotep, hasPrenomen, Sekhemre Khutawy]
Generated description
Sekhemre Khutawy was the throne name (prenomen) of the ancient Egyptian pharaoh Sekhemre Khutawy Sobekhotep, an early ruler of the Second Intermediate Period.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasPrenomen
Context triple: [Sekhemre Khutawy Sobekhotep, hasPrenomen, Sekhemre Khutawy]
  • A. prenomen
    Indicates the personal name or primary given name by which an individual is identified.
  • B. praenomenOrNomen
    Indicates that the related name element functions either as a personal given name (praenomen) or as a family/clan name (nomen) within a naming system.
  • C. isPraenomenOf chosen
    Indicates that a given personal name functions as the praenomen (given name) of a specific individual.
  • D. praenomenStatus
    Indicates the status or role associated with a person's praenomen (given name), such as whether it is official, alternative, uncertain, or otherwise qualified.
  • E. memberHasPraenomen
    Indicates that a member is associated with or bears a specific praenomen (personal given name).
  • F. None of above.

Provenance (6 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_69f3493134b48190aa3c8cb523bd3800 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_6a00d820a7788190a8d54625cd87be68 completed May 10, 2026, 7:10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a34b150db6c819083a51961d82cfa65 completed June 19, 2026, 3:02 a.m.
NEDg Description generation batch_6a34b226f710819086b2d0bee27a8c79 completed June 19, 2026, 3:06 a.m.
NED2 Entity disambiguation (via description) batch_6a34b2b0f36c8190ab30af3d30024b97 completed June 19, 2026, 3:08 a.m.
PD Predicate disambiguation batch_6a00d7c5b40c8190b80413238d04e81e completed May 10, 2026, 7:08 p.m.
Created at: May 1, 2026, 1:09 a.m.