Triple
T6971488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tamil culture |
E161606
|
entity |
| Predicate | hasMusicInstrument |
P24000
|
FINISHED |
| Object |
Parai
Parai is a traditional Tamil frame drum used in folk music, rituals, and social gatherings, often associated with ceremonial and community performances.
|
E633855
|
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: Parai | Statement: [Tamil culture, hasMusicInstrument, Parai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parai Context triple: [Tamil culture, hasMusicInstrument, Parai]
-
A.
Pakurumo
Pakurumo is a popular Afrobeat song by Nigerian artist Wizkid, known for its upbeat rhythm and dance-friendly vibe.
-
B.
Sarangani
Sarangani is a coastal province in the southern Philippines known for its rich marine biodiversity, tuna industry, and diverse indigenous cultures.
-
C.
Lapa
Lapa is a historic and bohemian neighborhood in Rio de Janeiro, Brazil, famous for its vibrant nightlife, samba clubs, and iconic aqueduct arches.
-
D.
Padilha
Padilha is a Portuguese-language surname most notably associated with Brazilian filmmaker José Padilha, known for works like "Elite Squad" and "Narcos."
-
E.
Papudo
Papudo is a small coastal town and popular beach resort in central Chile known for its scenic bay and relaxed seaside atmosphere.
- 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: Parai Triple: [Tamil culture, hasMusicInstrument, Parai]
Generated description
Parai is a traditional Tamil frame drum used in folk music, rituals, and social gatherings, often associated with ceremonial and community performances.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Parai Target entity description: Parai is a traditional Tamil frame drum used in folk music, rituals, and social gatherings, often associated with ceremonial and community performances.
-
A.
Pakurumo
Pakurumo is a popular Afrobeat song by Nigerian artist Wizkid, known for its upbeat rhythm and dance-friendly vibe.
-
B.
Sarangani
Sarangani is a coastal province in the southern Philippines known for its rich marine biodiversity, tuna industry, and diverse indigenous cultures.
-
C.
Lapa
Lapa is a historic and bohemian neighborhood in Rio de Janeiro, Brazil, famous for its vibrant nightlife, samba clubs, and iconic aqueduct arches.
-
D.
Padilha
Padilha is a Portuguese-language surname most notably associated with Brazilian filmmaker José Padilha, known for works like "Elite Squad" and "Narcos."
-
E.
Papudo
Papudo is a small coastal town and popular beach resort in central Chile known for its scenic bay and relaxed seaside atmosphere.
- 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_69c68854a0d88190bc0bf82263f1afce |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db38013081908037d23843dccad7 |
completed | March 27, 2026, 7:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c761a2b2f481908718b4803cfbfae9 |
completed | March 28, 2026, 5:05 a.m. |
| NEDg | Description generation | batch_69c763a3c2788190a84991602dba4f78 |
completed | March 28, 2026, 5:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c76423f7808190a9bdc43c4e99617a |
completed | March 28, 2026, 5:16 a.m. |
Created at: March 27, 2026, 2:30 p.m.