Triple

T6319786
Position Surface form Disambiguated ID Type / Status
Subject Regina Silveira E141708 entity
Predicate notableWork P4 FINISHED
Object Tramazul
Tramazul is a conceptual artwork by Brazilian artist Regina Silveira, known for its striking use of blue tape to create large-scale, illusionistic spatial distortions.
 E585361 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: Tramazul | Statement: [Regina Silveira, notableWork, Tramazul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tramazul
Context triple: [Regina Silveira, notableWork, Tramazul]
  • A. Trizina
    Trizina is a modern Greek settlement located near the ancient city of Troezen in the northeastern Peloponnese.
  • B. Troulos
    Troulos is a small coastal village and popular beach resort on the Greek island of Skiathos in the Sporades.
  • C. Shama
    Shama is a coastal town in Ghana known historically as a fishing community and trading post along the Gulf of Guinea.
  • D. Trezzini
    Trezzini is an Italian-origin surname most notably associated with Domenico Trezzini, the Swiss-Italian architect who helped shape early 18th-century Saint Petersburg.
  • E. Formoza
    Formoza is an elite Polish naval special operations unit renowned for maritime counter-terrorism, reconnaissance, and high-risk combat missions.
  • 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: Tramazul
Triple: [Regina Silveira, notableWork, Tramazul]
Generated description
Tramazul is a conceptual artwork by Brazilian artist Regina Silveira, known for its striking use of blue tape to create large-scale, illusionistic spatial distortions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tramazul
Target entity description: Tramazul is a conceptual artwork by Brazilian artist Regina Silveira, known for its striking use of blue tape to create large-scale, illusionistic spatial distortions.
  • A. Trizina
    Trizina is a modern Greek settlement located near the ancient city of Troezen in the northeastern Peloponnese.
  • B. Troulos
    Troulos is a small coastal village and popular beach resort on the Greek island of Skiathos in the Sporades.
  • C. Shama
    Shama is a coastal town in Ghana known historically as a fishing community and trading post along the Gulf of Guinea.
  • D. Trezzini
    Trezzini is an Italian-origin surname most notably associated with Domenico Trezzini, the Swiss-Italian architect who helped shape early 18th-century Saint Petersburg.
  • E. Rimplas
    Rimplas is a small mountain village in southeastern France, known for its scenic Alpine setting and historic fortifications overlooking the Tinée Valley.
  • 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_69c008d13b8c8190be47d896eb735605 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c064c4ed7c8190bd066dc7cd3d1329 completed March 22, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e48485308190adc2208ad46faaa7 completed March 27, 2026, 1:59 a.m.
NEDg Description generation batch_69c5f50ea1f08190bc475eab7b3ec6f0 completed March 27, 2026, 3:10 a.m.
NED2 Entity disambiguation (via description) batch_69c5f57691cc8190b07ecfa16d1eac20 completed March 27, 2026, 3:11 a.m.
Created at: March 22, 2026, 4:29 p.m.