Triple
T1787019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elephunk |
E39415
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Latin Girls
"Latin Girls" is a track by the Black Eyed Peas from their 2003 album *Elephunk*, blending hip hop with Latin-influenced rhythms and themes.
|
E198958
|
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: Latin Girls | Statement: [Elephunk, hasPart, Latin Girls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Latin Girls Context triple: [Elephunk, hasPart, Latin Girls]
-
A.
Latina
Latina is a modern Italian city in the Lazio region, known for its rationalist architecture and origins as a planned town founded during the Fascist era.
-
B.
Beautiful Girls
Beautiful Girls is a 1996 ensemble romantic dramedy film about a group of small-town friends reuniting for a high school reunion and confronting their stalled lives and relationships.
-
C.
El Latino
El Latino is the popular nickname of Estadio Latinoamericano, the iconic baseball stadium in Havana, Cuba.
-
D.
Niña
Niña was one of the three ships in Christopher Columbus’s 1492 voyage across the Atlantic, notable for its role in the first European expedition to the Americas.
-
E.
Thalia
Thalia is one of the nine Muses in Greek mythology, traditionally associated with comedy and pastoral poetry.
- 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: Latin Girls Triple: [Elephunk, hasPart, Latin Girls]
Generated description
"Latin Girls" is a track by the Black Eyed Peas from their 2003 album *Elephunk*, blending hip hop with Latin-influenced rhythms and themes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Latin Girls Target entity description: "Latin Girls" is a track by the Black Eyed Peas from their 2003 album *Elephunk*, blending hip hop with Latin-influenced rhythms and themes.
-
A.
Latina
Latina is a modern Italian city in the Lazio region, known for its rationalist architecture and origins as a planned town founded during the Fascist era.
-
B.
Beautiful Girls
Beautiful Girls is a 1996 ensemble romantic dramedy film about a group of small-town friends reuniting for a high school reunion and confronting their stalled lives and relationships.
-
C.
El Latino
El Latino is the popular nickname of Estadio Latinoamericano, the iconic baseball stadium in Havana, Cuba.
-
D.
Niña
Niña was one of the three ships in Christopher Columbus’s 1492 voyage across the Atlantic, notable for its role in the first European expedition to the Americas.
-
E.
Thalia
Thalia is one of the nine Muses in Greek mythology, traditionally associated with comedy and pastoral poetry.
- 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_69a88631854081909723959921e45c2b |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa650ea238819093a15df6f9d73e2d |
completed | March 6, 2026, 5:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada9a66da8819085867355c174adce |
completed | March 8, 2026, 4:53 p.m. |
| NEDg | Description generation | batch_69adaab488ec81909a340aab4916b90f |
completed | March 8, 2026, 4:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adaf3cd23081909dd27c5de8e3f6d2 |
completed | March 8, 2026, 5:17 p.m. |
Created at: March 4, 2026, 7:32 p.m.