Triple

T15659944
Position Surface form Disambiguated ID Type / Status
Subject Nisa E376541 entity
Predicate alsoKnownAs P39 FINISHED
Object Mitra Nisa
Mitra Nisa is an individual whose name appears in reference data but for whom no widely known public information or notable background is readily available.
E1169708 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: Mitra Nisa | Statement: [Nisa, alsoKnownAs, Mitra Nisa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mitra Nisa
Context triple: [Nisa, alsoKnownAs, Mitra Nisa]
  • A. Masmuda
    Masmuda were a major Berber tribal confederation of the High Atlas and western Morocco that played a central role in the rise of the Almohad movement.
  • B. Nita Raya
    Nita Raya was a Romanian-born French actress and singer best known as the wife and performing partner of entertainer Maurice Chevalier.
  • C. Sarai Naurang
    Sarai Naurang is a town and administrative settlement located in the Lakki Marwat District of Khyber Pakhtunkhwa province in Pakistan.
  • D. Najihah
    Najihah is a feminine given name of Malay origin, notably borne by Tuanku Najihah, a former royal consort and Raja Permaisuri Agong of Malaysia.
  • E. Amina Aqdas
    Amina Aqdas was a royal consort in the Qajar dynasty of Persia, known for her influential position at the court of Mozaffar ad-Din Shah.
  • 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: Mitra Nisa
Triple: [Nisa, alsoKnownAs, Mitra Nisa]
Generated description
Mitra Nisa is an individual whose name appears in reference data but for whom no widely known public information or notable background is readily available.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mitra Nisa
Target entity description: Mitra Nisa is an individual whose name appears in reference data but for whom no widely known public information or notable background is readily available.
  • A. Masmuda
    Masmuda were a major Berber tribal confederation of the High Atlas and western Morocco that played a central role in the rise of the Almohad movement.
  • B. Nita Raya
    Nita Raya was a Romanian-born French actress and singer best known as the wife and performing partner of entertainer Maurice Chevalier.
  • C. Sarai Naurang
    Sarai Naurang is a town and administrative settlement located in the Lakki Marwat District of Khyber Pakhtunkhwa province in Pakistan.
  • D. Najihah
    Najihah is a feminine given name of Malay origin, notably borne by Tuanku Najihah, a former royal consort and Raja Permaisuri Agong of Malaysia.
  • E. Amina Aqdas
    Amina Aqdas was a royal consort in the Qajar dynasty of Persia, known for her influential position at the court of Mozaffar ad-Din Shah.
  • 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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ef4e6a08190ad8bbafaa3612f22 completed April 16, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff679e0f2c8190bbcb7051c38e1580 completed May 9, 2026, 4:58 p.m.
NEDg Description generation batch_69ff68cfffd881908576c04e3eeb22a8 completed May 9, 2026, 5:03 p.m.
NED2 Entity disambiguation (via description) batch_69ff69660b6c819082dbdf06db1c8fe3 completed May 9, 2026, 5:05 p.m.
Created at: April 10, 2026, 4:15 a.m.