Triple

T18414971
Position Surface form Disambiguated ID Type / Status
Subject London Boy E441861 entity
Predicate mixedBy P38059 FINISHED
Object Serban Ghenea NE NERFINISHED

How this triple was built (2 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: Serban Ghenea | Statement: [London Boy, mixedBy, Serban Ghenea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Serban Ghenea
Context triple: [London Boy, mixedBy, Serban Ghenea]
  • A. Serban Ghenea chosen
    Serban Ghenea is a renowned audio mixing engineer known for his work on numerous chart-topping pop and R&B records for major international artists.
  • B. Dani Popescu
    Dani Popescu is an actor best known for his role in the satirical comedy film "Borat Subsequent Moviefilm."
  • C. Bogdan Tofan
    Bogdan Tofan is a Romanian architect known for his role in designing the monumental People’s Salvation Cathedral in Bucharest.
  • D. Miron Cristea
    Miron Cristea was a Romanian Orthodox cleric and politician who became the first Patriarch of the Romanian Orthodox Church and later served as Prime Minister of Romania.
  • E. Silviu Petrescu
    Silviu Petrescu is a Canadian professional soccer referee known for officiating high-profile Major League Soccer matches.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9eb8a508190a942fd75ebd8b1dc completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e51a278fdc8190aa81a2ade682d942 completed April 19, 2026, 6:08 p.m.
Created at: April 10, 2026, 10:47 a.m.