Triple

T16506547
Position Surface form Disambiguated ID Type / Status
Subject Mirian III of Iberia E400946 entity
Predicate fatherInLaw P18081 FINISHED
Object Oligotos
Oligotos was an ancient noble associated with the royal family of Iberia (ancient Georgia), known primarily as the father-in-law of King Mirian III.
 E1217263 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: Oligotos | Statement: [Mirian III of Iberia, fatherInLaw, Oligotos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Oligotos
Context triple: [Mirian III of Iberia, fatherInLaw, Oligotos]
  • A. Ogies
    Ogies is a small mining town in South Africa’s Mpumalanga province, known historically for its coal mining activities and role in the regional energy sector.
  • B. Otl
    Otl is the commonly used nickname of Otto Aicher, the influential German graphic designer better known as Otl Aicher.
  • C. Acrivos
    Acrivos is a Greek-origin surname most notably associated with Andreas Acrivos, a prominent chemical engineer and fluid dynamicist.
  • D. Olib
    Olib is a small Croatian island in the Adriatic Sea, known for its tranquil atmosphere, clear waters, and traditional Mediterranean village life.
  • E. Olins
    Olins is a surname most notably associated with Wally Olins, a pioneering British expert in corporate identity and branding.
  • 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: Oligotos
Triple: [Mirian III of Iberia, fatherInLaw, Oligotos]
Generated description
Oligotos was an ancient noble associated with the royal family of Iberia (ancient Georgia), known primarily as the father-in-law of King Mirian III.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Oligotos
Target entity description: Oligotos was an ancient noble associated with the royal family of Iberia (ancient Georgia), known primarily as the father-in-law of King Mirian III.
  • A. Ogies
    Ogies is a small mining town in South Africa’s Mpumalanga province, known historically for its coal mining activities and role in the regional energy sector.
  • B. Otl
    Otl is the commonly used nickname of Otto Aicher, the influential German graphic designer better known as Otl Aicher.
  • C. Acrivos
    Acrivos is a Greek-origin surname most notably associated with Andreas Acrivos, a prominent chemical engineer and fluid dynamicist.
  • D. Olib
    Olib is a small Croatian island in the Adriatic Sea, known for its tranquil atmosphere, clear waters, and traditional Mediterranean village life.
  • E. Olins
    Olins is a surname most notably associated with Wally Olins, a pioneering British expert in corporate identity and branding.
  • 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_69d88381f6148190819958a038be990e completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e52a2b48190ae715e7db0fd3aad completed April 18, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a005832bcb48190a905ee7c9bff2c5b completed May 10, 2026, 10:04 a.m.
NEDg Description generation batch_6a0059126e588190b531c145f3c155b4 completed May 10, 2026, 10:08 a.m.
NED2 Entity disambiguation (via description) batch_6a0059b5a1f8819089caefc121246739 completed May 10, 2026, 10:11 a.m.
Created at: April 10, 2026, 5:14 a.m.