Triple

T12366412
Position Surface form Disambiguated ID Type / Status
Subject Bebel Gilberto E294879 entity
Predicate notableSong P4 FINISHED
Object Aganjú
"Aganjú" is a popular Brazilian song by Bebel Gilberto that blends bossa nova, electronic, and world music influences.
E977384 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: Aganjú | Statement: [Bebel Gilberto, notableSong, Aganjú]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aganjú
Context triple: [Bebel Gilberto, notableSong, Aganjú]
  • A. Anjra
    Anjra is a town in northern Morocco, historically notable as the birthplace of the Sufi scholar and Quran commentator Ibn ‘Ajiba.
  • B. Ahangama
    Ahangama is a coastal town in southern Sri Lanka known for its beaches, surfing spots, and traditional stilt fishermen.
  • C. Amdanga
    Amdanga is a town in the North 24 Parganas district of the Indian state of West Bengal, known primarily as a semi-rural locality within the Kolkata metropolitan region.
  • D. Ajoie
    Ajoie is a traditional rural region in the northwest of the Swiss canton of Jura, known for its agricultural landscape, historic villages, and distinct local culture.
  • E. Astangu
    Astangu is a residential subdistrict of Tallinn, Estonia, located within the Haabersti district.
  • 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: Aganjú
Triple: [Bebel Gilberto, notableSong, Aganjú]
Generated description
"Aganjú" is a popular Brazilian song by Bebel Gilberto that blends bossa nova, electronic, and world music influences.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Aganjú
Target entity description: "Aganjú" is a popular Brazilian song by Bebel Gilberto that blends bossa nova, electronic, and world music influences.
  • A. Anjra
    Anjra is a town in northern Morocco, historically notable as the birthplace of the Sufi scholar and Quran commentator Ibn ‘Ajiba.
  • B. Ahangama
    Ahangama is a coastal town in southern Sri Lanka known for its beaches, surfing spots, and traditional stilt fishermen.
  • C. Amdanga
    Amdanga is a town in the North 24 Parganas district of the Indian state of West Bengal, known primarily as a semi-rural locality within the Kolkata metropolitan region.
  • D. Ajoie
    Ajoie is a traditional rural region in the northwest of the Swiss canton of Jura, known for its agricultural landscape, historic villages, and distinct local culture.
  • E. Astangu
    Astangu is a residential subdistrict of Tallinn, Estonia, located within the Haabersti district.
  • 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_69d93fa502988190ba170dee90d9f394 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_69f62c57a26081908d6903906f6e04f0 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.