Triple

T10766751
Position Surface form Disambiguated ID Type / Status
Subject Nubar Gulbenkian E253972 entity
Predicate givenName P17 FINISHED
Object Nubar
Nubar is a given name most notably borne by Nubar Gulbenkian, an eccentric Armenian-British businessman and socialite of the 20th century.
 E884248 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: Nubar | Statement: [Nubar Gulbenkian, givenName, Nubar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nubar
Context triple: [Nubar Gulbenkian, givenName, Nubar]
  • A. Maisach
    Maisach is a municipality in Upper Bavaria, Germany, known for its rural character and proximity to Munich.
  • B. Sahnun
    Sahnun was a prominent 9th-century Islamic jurist from North Africa whose compilation of legal opinions, the Mudawwana, became a foundational text of the Maliki school of Sunni jurisprudence.
  • C. Semaq Beri
    Semaq Beri is an Aslian language spoken by an indigenous Orang Asli community in Peninsular Malaysia.
  • D. Bawshar
    Bawshar is a district in Muscat, Oman, known as a major urban area that includes important landmarks, commercial centers, and residential neighborhoods.
  • E. Nabulsi
    Nabulsi refers to a person or thing originating from the city of Nablus in the West Bank, often associated with its distinctive cheese and traditional soap.
  • 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: Nubar
Triple: [Nubar Gulbenkian, givenName, Nubar]
Generated description
Nubar is a given name most notably borne by Nubar Gulbenkian, an eccentric Armenian-British businessman and socialite of the 20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nubar
Target entity description: Nubar is a given name most notably borne by Nubar Gulbenkian, an eccentric Armenian-British businessman and socialite of the 20th century.
  • A. Maisach
    Maisach is a municipality in Upper Bavaria, Germany, known for its rural character and proximity to Munich.
  • B. Sahnun
    Sahnun was a prominent 9th-century Islamic jurist from North Africa whose compilation of legal opinions, the Mudawwana, became a foundational text of the Maliki school of Sunni jurisprudence.
  • C. Semaq Beri
    Semaq Beri is an Aslian language spoken by an indigenous Orang Asli community in Peninsular Malaysia.
  • D. Bawshar
    Bawshar is a district in Muscat, Oman, known as a major urban area that includes important landmarks, commercial centers, and residential neighborhoods.
  • E. Nabulsi
    Nabulsi refers to a person or thing originating from the city of Nablus in the West Bank, often associated with its distinctive cheese and traditional soap.
  • 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_69d6aa5f54f4819082d0bbcb6f8797e6 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d7322d3a9c81909e58f6064643b814 completed April 9, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69de236d0a78819090774656b7b492e5 completed April 14, 2026, 11:22 a.m.
NEDg Description generation batch_69de271ee56c81908d2f690f31c2d2db completed April 14, 2026, 11:38 a.m.
NED2 Entity disambiguation (via description) batch_69de2e05fdb08190b880f9158b14118b completed April 14, 2026, 12:07 p.m.
Created at: April 8, 2026, 9:16 p.m.