Triple
T8428268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | She Wolf |
E199055
|
entity |
| Predicate | hasSpanishLanguageVersion |
P36214
|
FINISHED |
| Object |
Loba
Loba is the Spanish-language version of the hit Shakira song "She Wolf," featuring adapted lyrics and vocals tailored for Spanish-speaking audiences.
|
E734360
|
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: Loba | Statement: [She Wolf, hasSpanishLanguageVersion, Loba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Loba Context triple: [She Wolf, hasSpanishLanguageVersion, Loba]
-
A.
Guabiraba
Guabiraba is a neighborhood and administrative district located in the northern part of Recife, in the state of Pernambuco, Brazil.
-
B.
Bulzi
Bulzi is a small town and comune in the province of Sassari on the Italian island of Sardinia.
-
C.
Lobo
Lobo is a surname most prominently associated with Rebecca Lobo, a former American professional basketball player and Hall of Famer.
-
D.
Lobo
Lobo is a coastal municipality in the province of Batangas in the Philippines, known for its beaches, dive sites, and marine biodiversity.
-
E.
Dondo
Dondo is an Austronesian language spoken in Central Sulawesi, Indonesia, belonging to the Tomini–Tolitoli subgroup.
- 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: Loba Triple: [She Wolf, hasSpanishLanguageVersion, Loba]
Generated description
Loba is the Spanish-language version of the hit Shakira song "She Wolf," featuring adapted lyrics and vocals tailored for Spanish-speaking audiences.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Loba Target entity description: Loba is the Spanish-language version of the hit Shakira song "She Wolf," featuring adapted lyrics and vocals tailored for Spanish-speaking audiences.
-
A.
Guabiraba
Guabiraba is a neighborhood and administrative district located in the northern part of Recife, in the state of Pernambuco, Brazil.
-
B.
Bulzi
Bulzi is a small town and comune in the province of Sassari on the Italian island of Sardinia.
-
C.
Lobo
Lobo is a surname most prominently associated with Rebecca Lobo, a former American professional basketball player and Hall of Famer.
-
D.
Lobo
Lobo is a coastal municipality in the province of Batangas in the Philippines, known for its beaches, dive sites, and marine biodiversity.
-
E.
Dondo
Dondo is an Austronesian language spoken in Central Sulawesi, Indonesia, belonging to the Tomini–Tolitoli subgroup.
- 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_69ca8313c99081909a5c6d83b91de5b3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbd124378c819086ea2fa6ecbfffe1 |
completed | March 31, 2026, 1:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1d5a671c8190aebbe94e8838cddb |
completed | April 2, 2026, 7:40 a.m. |
| NEDg | Description generation | batch_69ce1f64337c8190a78a3d5bb2b9c56e |
completed | April 2, 2026, 7:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce1ff71038819085f0a9d534e06356 |
completed | April 2, 2026, 7:51 a.m. |
Created at: March 30, 2026, 6:07 p.m.