Triple

T12365868
Position Surface form Disambiguated ID Type / Status
Subject Tulisa Contostavlos E294867 entity
Predicate bandmate P7955 FINISHED
Object Fazer
Fazer is a British rapper, producer, and DJ best known as a member of the hip hop group N-Dubz alongside Tulisa Contostavlos and Dappy.
E977366 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: Fazer | Statement: [Tulisa Contostavlos, bandmate, Fazer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fazer
Context triple: [Tulisa Contostavlos, bandmate, Fazer]
  • A. FUGA
    FUGA is a global music distribution and services company that provides digital delivery, rights management, and marketing solutions for record labels and independent artists.
  • B. The Mack
    The Mack is a 1973 blaxploitation crime film centered on a charismatic pimp navigating power struggles in Oakland’s criminal underworld.
  • C. Faydi
    Faydi is a village located within the Shekhan District in the Kurdistan Region of northern Iraq.
  • D. Fuhse
    Fuhse is a river in Lower Saxony, Germany, that flows through several towns before joining the Aller River.
  • E. Ferno
    Ferno is a small municipality in the Lombardy region of northern Italy, situated in the province of Varese.
  • 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: Fazer
Triple: [Tulisa Contostavlos, bandmate, Fazer]
Generated description
Fazer is a British rapper, producer, and DJ best known as a member of the hip hop group N-Dubz alongside Tulisa Contostavlos and Dappy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fazer
Target entity description: Fazer is a British rapper, producer, and DJ best known as a member of the hip hop group N-Dubz alongside Tulisa Contostavlos and Dappy.
  • A. FUGA
    FUGA is a global music distribution and services company that provides digital delivery, rights management, and marketing solutions for record labels and independent artists.
  • B. The Mack
    The Mack is a 1973 blaxploitation crime film centered on a charismatic pimp navigating power struggles in Oakland’s criminal underworld.
  • C. Faydi
    Faydi is a village located within the Shekhan District in the Kurdistan Region of northern Iraq.
  • D. Fuhse
    Fuhse is a river in Lower Saxony, Germany, that flows through several towns before joining the Aller River.
  • E. Ferno
    Ferno is a small municipality in the Lombardy region of northern Italy, situated in the province of Varese.
  • 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_69d6ab6d8a4081908636601e69ddf262 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93fa3f958819080555bcae9958a53 completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62abbaaec8190b388d9dff999da8d completed May 2, 2026, 4:47 p.m.
NEDg Description generation batch_69f62c569a6c8190aecf8a4c627d8893 completed May 2, 2026, 4:54 p.m.
NED2 Entity disambiguation (via description) batch_69f62d07d3148190a45542c8d43a7077 completed May 2, 2026, 4:57 p.m.
Created at: April 8, 2026, 9:54 p.m.