Triple

T22071214
Position Surface form Disambiguated ID Type / Status
Subject Honey in the Horn E545409 entity
Predicate containsTrack P3284 FINISHED
Object Al Di La
"Al Di La" is a popular Italian song best known in the English-speaking world through Al Hirt’s hit instrumental recording.
E1517528 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: Al Di La | Statement: [Honey in the Horn, containsTrack, Al Di La]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al Di La
Context triple: [Honey in the Horn, containsTrack, Al Di La]
  • A. La La La
    "La La La" is a 2013 hit single by British producer Naughty Boy featuring singer Sam Smith, known for its catchy hook and emotionally charged electronic pop sound.
  • B. Guardalavaca
    Guardalavaca is a popular beach resort area on Cuba’s northern coast, known for its white-sand beaches and clear turquoise waters.
  • C. La Musica
    La Musica is the allegorical personification of Music who delivers the prologue in Claudio Monteverdi’s early Baroque opera *L’Orfeo*.
  • D. Del Aire
    Del Aire is a small unincorporated community in Los Angeles County, California, known for its residential neighborhoods near Los Angeles International Airport.
  • E. Cántico
    Cántico is a major poetic collection by Spanish poet Jorge Guillén, celebrated for its pure, optimistic lyricism and central role in the Generation of ’27.
  • 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: Al Di La
Triple: [Honey in the Horn, containsTrack, Al Di La]
Generated description
"Al Di La" is a popular Italian song best known in the English-speaking world through Al Hirt’s hit instrumental recording.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Al Di La
Target entity description: "Al Di La" is a popular Italian song best known in the English-speaking world through Al Hirt’s hit instrumental recording.
  • A. La La La
    "La La La" is a 2013 hit single by British producer Naughty Boy featuring singer Sam Smith, known for its catchy hook and emotionally charged electronic pop sound.
  • B. Guardalavaca
    Guardalavaca is a popular beach resort area on Cuba’s northern coast, known for its white-sand beaches and clear turquoise waters.
  • C. La Musica
    La Musica is the allegorical personification of Music who delivers the prologue in Claudio Monteverdi’s early Baroque opera *L’Orfeo*.
  • D. Del Aire
    Del Aire is a small unincorporated community in Los Angeles County, California, known for its residential neighborhoods near Los Angeles International Airport.
  • E. Cántico
    Cántico is a major poetic collection by Spanish poet Jorge Guillén, celebrated for its pure, optimistic lyricism and central role in the Generation of ’27.
  • 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_69e11e344dfc81909b1d88a7221329c7 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128881af481909b28cda2d343f4e3 completed April 28, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a80b378888190b7d26cd57a6eec23 completed May 18, 2026, 3 a.m.
NEDg Description generation batch_6a0a817450ac81908479592e5cfc0126 completed May 18, 2026, 3:03 a.m.
NED2 Entity disambiguation (via description) batch_6a0a827806a8819099933d597773a1e1 completed May 18, 2026, 3:07 a.m.
Created at: April 16, 2026, 8:28 p.m.