Triple

T10572987
Position Surface form Disambiguated ID Type / Status
Subject Te Lo Dije E249537 entity
Predicate hasTrack P3284 FINISHED
Object Banana
"Banana" is a song featured on the album *Te Lo Dije* by the Puerto Rican reggaeton artist Ozuna.
 E871626 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: Banana | Statement: [Te Lo Dije, hasTrack, Banana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Banana
Context triple: [Te Lo Dije, hasTrack, Banana]
  • A. Banana
    Banana is a British television drama series created by Russell T Davies that explores the lives and relationships of LGBTQ+ characters in contemporary Manchester.
  • B. Banana
    "Banana" is a comedic animated short film set in the Despicable Me universe, featuring the Minions in a slapstick adventure centered around their obsession with bananas.
  • C. Banana
    Banana is a port town in the Democratic Republic of the Congo situated on the Atlantic coast at the mouth of the Congo River.
  • D. Bananas
    Bananas is a 1971 satirical comedy film directed by and starring Woody Allen, known for its absurd political humor and farcical take on revolution in a fictional Latin American country.
  • E. Bananas
    Bananas is a fictional bear character known as Bananas T. Bear, typically depicted in children’s entertainment or media.
  • 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: Banana
Triple: [Te Lo Dije, hasTrack, Banana]
Generated description
"Banana" is a song featured on the album *Te Lo Dije* by the Puerto Rican reggaeton artist Ozuna.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Banana
Target entity description: "Banana" is a song featured on the album *Te Lo Dije* by the Puerto Rican reggaeton artist Ozuna.
  • A. Banana
    Banana is a British television drama series created by Russell T Davies that explores the lives and relationships of LGBTQ+ characters in contemporary Manchester.
  • B. Banana
    "Banana" is a comedic animated short film set in the Despicable Me universe, featuring the Minions in a slapstick adventure centered around their obsession with bananas.
  • C. Banana
    Banana is a port town in the Democratic Republic of the Congo situated on the Atlantic coast at the mouth of the Congo River.
  • D. Bananas
    Bananas is a 1971 satirical comedy film directed by and starring Woody Allen, known for its absurd political humor and farcical take on revolution in a fictional Latin American country.
  • E. Bananas
    Bananas is a fictional bear character known as Bananas T. Bear, typically depicted in children’s entertainment or media.
  • 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_69d381c8bd708190acf3d275c908251e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5274929cc81909a79d5e2049f7389 completed April 7, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b5d89748190bb398943e4a16e9b completed April 10, 2026, 7:11 p.m.
NEDg Description generation batch_69d94e1502108190a81bfa1d5a425e5a completed April 10, 2026, 7:23 p.m.
NED2 Entity disambiguation (via description) batch_69d94f0bb6888190b4038df6dcd96d33 completed April 10, 2026, 7:27 p.m.
Created at: April 6, 2026, 12:37 p.m.