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.