Triple

T14580840
Position Surface form Disambiguated ID Type / Status
Subject Benjamin E342186 entity
Predicate hasVariant P455 FINISHED
Object Benyamine
Benyamine is a given name and surname that functions as a variant form of the name Benjamin, used in various cultural and linguistic contexts.
E1107799 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: Benyamine | Statement: [Benjamin, hasVariant, Benyamine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benyamine
Context triple: [Benjamin, hasVariant, Benyamine]
  • A. Benjamin Biolay
    Benjamin Biolay is a French singer-songwriter, musician, and producer known for his melancholic pop style and influential role in contemporary French chanson.
  • B. Bazzi
    Bazzi is an American singer, songwriter, and producer known for his melodic pop and R&B-influenced tracks such as the hit single "Mine."
  • C. Timaya
    Timaya is a Nigerian singer and songwriter known for his influential role in contemporary Afrobeat and dancehall music.
  • D. Beniamin
    Beniamin is a rural village located in Armenia’s Shirak Province.
  • E. Benoit Blanc
    Benoit Blanc is a fictional, eccentric Southern gentleman detective best known as the central sleuth in Rian Johnson’s modern whodunit film series "Knives Out" and its sequels.
  • 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: Benyamine
Triple: [Benjamin, hasVariant, Benyamine]
Generated description
Benyamine is a given name and surname that functions as a variant form of the name Benjamin, used in various cultural and linguistic contexts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Benyamine
Target entity description: Benyamine is a given name and surname that functions as a variant form of the name Benjamin, used in various cultural and linguistic contexts.
  • A. Benjamin Biolay
    Benjamin Biolay is a French singer-songwriter, musician, and producer known for his melancholic pop style and influential role in contemporary French chanson.
  • B. Bazzi
    Bazzi is an American singer, songwriter, and producer known for his melodic pop and R&B-influenced tracks such as the hit single "Mine."
  • C. Timaya
    Timaya is a Nigerian singer and songwriter known for his influential role in contemporary Afrobeat and dancehall music.
  • D. Beniamin
    Beniamin is a rural village located in Armenia’s Shirak Province.
  • E. Benoit Blanc
    Benoit Blanc is a fictional, eccentric Southern gentleman detective best known as the central sleuth in Rian Johnson’s modern whodunit film series "Knives Out" and its sequels.
  • 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb41e71748190a1deacc819dd26d3 completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94b832b08190965b727baa700403 completed May 8, 2026, 7:46 a.m.
NEDg Description generation batch_69fd959751d48190890dcce97f50ff07 completed May 8, 2026, 7:49 a.m.
NED2 Entity disambiguation (via description) batch_69fd966727088190a151f4790b434354 completed May 8, 2026, 7:53 a.m.
Created at: April 10, 2026, 1:24 a.m.