Triple

T10326800
Position Surface form Disambiguated ID Type / Status
Subject 13th Dynasty of Egypt E242782 entity
Predicate hasPharaoh P21274 FINISHED
Object Ibi
Ibi was a relatively obscure pharaoh of Egypt’s 13th Dynasty, ruling during the politically fragmented Second Intermediate Period.
E855536 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: Ibi | Statement: [13th Dynasty of Egypt, hasPharaoh, Ibi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ibi
Context triple: [13th Dynasty of Egypt, hasPharaoh, Ibi]
  • A. Ishbia
    Ishbia is the surname of Mat Ishbia, an American billionaire businessman and owner of the NBA’s Phoenix Suns.
  • B. Martos
    Martos is a historic town in southern Spain’s Andalusia region, known for its olive oil production and hilltop setting dominated by a medieval castle.
  • C. Ceibal
    Ceibal is an ancient Maya archaeological site in Guatemala renowned for its well-preserved ceremonial architecture and sculpted monuments.
  • D. Muribeca
    Muribeca is a municipality in the Brazilian state of Sergipe, known for its rural character within the semi-arid interior region.
  • E. Gisondo
    Gisondo is an Italian-origin surname most notably borne by American actor Skyler Gisondo.
  • 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: Ibi
Triple: [13th Dynasty of Egypt, hasPharaoh, Ibi]
Generated description
Ibi was a relatively obscure pharaoh of Egypt’s 13th Dynasty, ruling during the politically fragmented Second Intermediate Period.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ibi
Target entity description: Ibi was a relatively obscure pharaoh of Egypt’s 13th Dynasty, ruling during the politically fragmented Second Intermediate Period.
  • A. Ishbia
    Ishbia is the surname of Mat Ishbia, an American billionaire businessman and owner of the NBA’s Phoenix Suns.
  • B. Martos
    Martos is a historic town in southern Spain’s Andalusia region, known for its olive oil production and hilltop setting dominated by a medieval castle.
  • C. Ceibal
    Ceibal is an ancient Maya archaeological site in Guatemala renowned for its well-preserved ceremonial architecture and sculpted monuments.
  • D. Muribeca
    Muribeca is a municipality in the Brazilian state of Sergipe, known for its rural character within the semi-arid interior region.
  • E. Gisondo
    Gisondo is an Italian-origin surname most notably borne by American actor Skyler Gisondo.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d7ce69b881909f27d97c90643634 completed April 7, 2026, 10:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71dafa9308190ae0d3c34ba0c58b1 completed April 9, 2026, 3:31 a.m.
NEDg Description generation batch_69d731887d2081908e6b4e33d400582f completed April 9, 2026, 4:56 a.m.
NED2 Entity disambiguation (via description) batch_69d7329189708190bbd21bd40ec029b0 completed April 9, 2026, 5:01 a.m.
Created at: April 6, 2026, 11:51 a.m.