Triple
T2323493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spirit |
E48233
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Mariachi
"Mariachi" is a song titled after the traditional Mexican musical style known for its vibrant ensembles featuring violins, trumpets, and guitars.
|
E256780
|
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: Mariachi | Statement: [Spirit, hasTrack, Mariachi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mariachi Context triple: [Spirit, hasTrack, Mariachi]
-
A.
Duranguense
Duranguense refers to a person from the Mexican state of Durango, or to things associated with that region and its culture.
-
B.
Tejano music
Tejano music is a popular Mexican-American musical genre that blends traditional Mexican styles with influences from country, rock, and other U.S. genres, especially associated with Texas.
-
C.
Grupo Caliente
Grupo Caliente is a Mexican gaming and entertainment company best known for operating casinos, sports betting venues, and owning various sports teams.
-
D.
Cajiqueño
Cajiqueño is the Spanish demonym for a person from the Colombian municipality of Cajicá.
-
E.
Mexican Hayride
Mexican Hayride is a 1944 Broadway musical comedy with music and lyrics by Cole Porter, known for its lively score and satirical take on Mexican-themed escapades.
- 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: Mariachi Triple: [Spirit, hasTrack, Mariachi]
Generated description
"Mariachi" is a song titled after the traditional Mexican musical style known for its vibrant ensembles featuring violins, trumpets, and guitars.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mariachi Target entity description: "Mariachi" is a song titled after the traditional Mexican musical style known for its vibrant ensembles featuring violins, trumpets, and guitars.
-
A.
Duranguense
Duranguense refers to a person from the Mexican state of Durango, or to things associated with that region and its culture.
-
B.
Tejano music
Tejano music is a popular Mexican-American musical genre that blends traditional Mexican styles with influences from country, rock, and other U.S. genres, especially associated with Texas.
-
C.
Grupo Caliente
Grupo Caliente is a Mexican gaming and entertainment company best known for operating casinos, sports betting venues, and owning various sports teams.
-
D.
Cajiqueño
Cajiqueño is the Spanish demonym for a person from the Colombian municipality of Cajicá.
-
E.
Mexican Hayride
Mexican Hayride is a 1944 Broadway musical comedy with music and lyrics by Cole Porter, known for its lively score and satirical take on Mexican-themed escapades.
- 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_69a88aa308a88190b0b86c011fda7fce |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc6488de481909f018700fa1f9fc7 |
completed | March 7, 2026, 6:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae896b357c8190a6cdf99d5292037e |
completed | March 9, 2026, 8:48 a.m. |
| NEDg | Description generation | batch_69ae8e8263a08190a0950dbb1336df70 |
completed | March 9, 2026, 9:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae8f9fe79c819080062587aed27379 |
completed | March 9, 2026, 9:15 a.m. |
Created at: March 4, 2026, 7:49 p.m.