Triple
T8782605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karol G |
E208768
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Tusa
"Tusa" is a globally popular reggaeton and Latin pop song by Colombian singer Karol G featuring Nicki Minaj, known for its catchy melody and themes of heartbreak and empowerment.
|
E756812
|
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: Tusa | Statement: [Karol G, notableWork, Tusa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tusa Context triple: [Karol G, notableWork, Tusa]
-
A.
Tusa
Tusa is a surname most notably associated with Sir John Tusa, a prominent British arts administrator and former broadcaster.
-
B.
Solitano
Solitano is the surname of the central family in the film "Silver Linings Playbook," including the protagonist Pat Solitano portrayed by Bradley Cooper.
-
C.
Capestrano
Capestrano is a small historic town in Italy’s Abruzzo region, known for its medieval architecture and religious heritage.
-
D.
Toma
Toma is a major Mande language spoken primarily in Guinea and neighboring West African countries.
-
E.
Loiceño
Loiceño is the Spanish demonym for a person from the municipality of Loíza in Puerto Rico.
- 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: Tusa Triple: [Karol G, notableWork, Tusa]
Generated description
"Tusa" is a globally popular reggaeton and Latin pop song by Colombian singer Karol G featuring Nicki Minaj, known for its catchy melody and themes of heartbreak and empowerment.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tusa Target entity description: "Tusa" is a globally popular reggaeton and Latin pop song by Colombian singer Karol G featuring Nicki Minaj, known for its catchy melody and themes of heartbreak and empowerment.
-
A.
Tusa
Tusa is a surname most notably associated with Sir John Tusa, a prominent British arts administrator and former broadcaster.
-
B.
Solitano
Solitano is the surname of the central family in the film "Silver Linings Playbook," including the protagonist Pat Solitano portrayed by Bradley Cooper.
-
C.
Capestrano
Capestrano is a small historic town in Italy’s Abruzzo region, known for its medieval architecture and religious heritage.
-
D.
Toma
Toma is a major Mande language spoken primarily in Guinea and neighboring West African countries.
-
E.
Loiceño
Loiceño is the Spanish demonym for a person from the municipality of Loíza in Puerto Rico.
- 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_69ca835fbee88190bf625939bac48d7f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f7155b081908891e84b704f0ebf |
completed | March 31, 2026, 11:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf51e9d97c8190a947848fdaa5b67d |
completed | April 3, 2026, 5:36 a.m. |
| NEDg | Description generation | batch_69cf5323b7c08190819de236e01ce9d3 |
completed | April 3, 2026, 5:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf54a056408190bd536f79e3ec33be |
completed | April 3, 2026, 5:48 a.m. |
Created at: March 30, 2026, 6:42 p.m.