Triple

T14481258
Position Surface form Disambiguated ID Type / Status
Subject Bintanath E359105 entity
Predicate alsoKnownAs P39 FINISHED
Object Bentanat
Bentanat was an ancient Egyptian princess of the 19th Dynasty, likely a daughter and later Great Royal Wife of Pharaoh Ramesses II.
 E1103201 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: Bentanat | Statement: [Bintanath, alsoKnownAs, Bentanat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bentanat
Context triple: [Bintanath, alsoKnownAs, Bentanat]
  • A. Bantumi
    Bantumi is a digital version of the traditional Mancala-style board game that was popularized on early Nokia mobile phones.
  • B. Bengan
    Bengan is a Swedish diminutive or nickname commonly used for the male given name Bengt.
  • C. Banyara
    The Banyara are an ethnic group indigenous to eastern Uganda, known for their distinct cultural traditions and local agricultural livelihoods.
  • D. Letang
    Letang is the surname of Kris Letang, a professional ice hockey defenseman best known for his long career with the NHL’s Pittsburgh Penguins.
  • E. Sutera
    Sutera is a historic hilltop town in central Sicily, Italy, known for its medieval architecture and panoramic views over the surrounding countryside.
  • 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: Bentanat
Triple: [Bintanath, alsoKnownAs, Bentanat]
Generated description
Bentanat was an ancient Egyptian princess of the 19th Dynasty, likely a daughter and later Great Royal Wife of Pharaoh Ramesses II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bentanat
Target entity description: Bentanat was an ancient Egyptian princess of the 19th Dynasty, likely a daughter and later Great Royal Wife of Pharaoh Ramesses II.
  • A. Bantumi
    Bantumi is a digital version of the traditional Mancala-style board game that was popularized on early Nokia mobile phones.
  • B. Bengan
    Bengan is a Swedish diminutive or nickname commonly used for the male given name Bengt.
  • C. Banyara
    The Banyara are an ethnic group indigenous to eastern Uganda, known for their distinct cultural traditions and local agricultural livelihoods.
  • D. Letang
    Letang is the surname of Kris Letang, a professional ice hockey defenseman best known for his long career with the NHL’s Pittsburgh Penguins.
  • E. Sutera
    Sutera is a historic hilltop town in central Sicily, Italy, known for its medieval architecture and panoramic views over the surrounding countryside.
  • 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_69d827966698819082e140837737501d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de924bc548819087a2f693840d7426 completed April 14, 2026, 7:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d8ccd608190afd23c903cd5686a completed May 8, 2026, 4:58 a.m.
NEDg Description generation batch_69fd6fcdc2008190869b5fb17b2b8b28 completed May 8, 2026, 5:08 a.m.
NED2 Entity disambiguation (via description) batch_69fd708521c881909863b7cd3fc4a313 completed May 8, 2026, 5:11 a.m.
Created at: April 10, 2026, 1:20 a.m.