Triple

T13415643
Position Surface form Disambiguated ID Type / Status
Subject Mary E313204 entity
Predicate featuresArtist P1952 FINISHED
Object Obrafour
Obrafour is a pioneering Ghanaian hiplife musician and rapper known for his lyrical depth and influence on the genre.
E1039379 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: Obrafour | Statement: [Mary, featuresArtist, Obrafour]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Obrafour
Context triple: [Mary, featuresArtist, Obrafour]
  • A. Beale Farange
    Beale Farange is a central figure in Henry James's novel "What Maisie Knew," portrayed as Maisie's selfish and irresponsible father whose bitter divorce and neglect shape her troubled upbringing.
  • B. Fayard
    Fayard is a prominent French publishing house known for its literary works, essays, and non-fiction titles.
  • C. Reeser
    Reeser is a surname most notably associated with American actress Autumn Reeser, known for her roles in television and film.
  • D. Brice
    Brice is a central character in Tyler Perry's film "Temptation: Confessions of a Marriage Counselor," portrayed as the devoted but imperfect husband whose relationship is tested by infidelity and ambition.
  • E. Folmar
    Folmar is a masculine given name of Scandinavian origin, most notably borne by the Danish-American film editor Folmar Blangsted.
  • 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: Obrafour
Triple: [Mary, featuresArtist, Obrafour]
Generated description
Obrafour is a pioneering Ghanaian hiplife musician and rapper known for his lyrical depth and influence on the genre.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Obrafour
Target entity description: Obrafour is a pioneering Ghanaian hiplife musician and rapper known for his lyrical depth and influence on the genre.
  • A. Beale Farange
    Beale Farange is a central figure in Henry James's novel "What Maisie Knew," portrayed as Maisie's selfish and irresponsible father whose bitter divorce and neglect shape her troubled upbringing.
  • B. Fayard
    Fayard is a prominent French publishing house known for its literary works, essays, and non-fiction titles.
  • C. Reeser
    Reeser is a surname most notably associated with American actress Autumn Reeser, known for her roles in television and film.
  • D. Brice
    Brice is a central character in Tyler Perry's film "Temptation: Confessions of a Marriage Counselor," portrayed as the devoted but imperfect husband whose relationship is tested by infidelity and ambition.
  • E. Folmar
    Folmar is a masculine given name of Scandinavian origin, most notably borne by the Danish-American film editor Folmar Blangsted.
  • 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_69d806ad0c44819088833ae1ec9e9690 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaeb6e904819098cc9153fd2feaf5 completed April 12, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7308095548190afb659b84f2775f2 completed May 3, 2026, 11:24 a.m.
NEDg Description generation batch_69f73242a368819080ceda37583c0d7c completed May 3, 2026, 11:32 a.m.
NED2 Entity disambiguation (via description) batch_69f732b3ba748190b2a430300e798ed8 completed May 3, 2026, 11:34 a.m.
Created at: April 9, 2026, 9:39 p.m.