Triple

T16322987
Position Surface form Disambiguated ID Type / Status
Subject Dismaland E396343 entity
Predicate featuresWorkBy P12692 FINISHED
Object Escif
Escif is a Spanish street artist known for his politically charged, minimalist murals and thought-provoking urban interventions.
 E1206857 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: Escif | Statement: [Dismaland, featuresWorkBy, Escif]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Escif
Context triple: [Dismaland, featuresWorkBy, Escif]
  • A. I Felsinei
    I Felsinei is a traditional nickname for Bologna FC 1909, referencing the club’s historic roots in the city of Bologna.
  • B. Hạfhai
    Hạfhai is one of the small outlying islets associated with the Polynesian island of Rotuma in the South Pacific.
  • C. Panel of the Wise
    The Panel of the Wise is a consultative body of eminent African personalities that advises and supports the African Union in conflict prevention, mediation, and peacebuilding efforts across the continent.
  • D. Saffig
    Saffig is a small municipality in the district of Mayen-Koblenz in the German state of Rhineland-Palatinate.
  • E. Fárrago
    Fárrago is a celebrated poetry collection by Colombian writer León de Greiff, known for its rich language, erudite allusions, and playful, experimental style.
  • 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: Escif
Triple: [Dismaland, featuresWorkBy, Escif]
Generated description
Escif is a Spanish street artist known for his politically charged, minimalist murals and thought-provoking urban interventions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Escif
Target entity description: Escif is a Spanish street artist known for his politically charged, minimalist murals and thought-provoking urban interventions.
  • A. I Felsinei
    I Felsinei is a traditional nickname for Bologna FC 1909, referencing the club’s historic roots in the city of Bologna.
  • B. Hạfhai
    Hạfhai is one of the small outlying islets associated with the Polynesian island of Rotuma in the South Pacific.
  • C. Panel of the Wise
    The Panel of the Wise is a consultative body of eminent African personalities that advises and supports the African Union in conflict prevention, mediation, and peacebuilding efforts across the continent.
  • D. Saffig
    Saffig is a small municipality in the district of Mayen-Koblenz in the German state of Rhineland-Palatinate.
  • E. Fárrago
    Fárrago is a celebrated poetry collection by Colombian writer León de Greiff, known for its rich language, erudite allusions, and playful, experimental style.
  • 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e296b82fe88190a448597b7827f859 completed April 17, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00260ab4208190900f21cb4f08f926 completed May 10, 2026, 6:30 a.m.
NEDg Description generation batch_6a00276bc80c819083c88ea52c67cdad completed May 10, 2026, 6:36 a.m.
NED2 Entity disambiguation (via description) batch_6a00281b056c8190bbfc4897a8d3973b completed May 10, 2026, 6:39 a.m.
Created at: April 10, 2026, 5:06 a.m.