Triple
T16330428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexander Ridha |
E396535
|
entity |
| Predicate | hasCollaborationWith |
P398
|
FINISHED |
| Object |
Tiga
Tiga is a Canadian DJ and electronic music producer known for his influential work in techno and electro house.
|
E1206588
|
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: Tiga | Statement: [Alexander Ridha, hasCollaborationWith, Tiga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tiga Context triple: [Alexander Ridha, hasCollaborationWith, Tiga]
-
A.
Tretes
Tretes is a cool highland resort town in East Java, Indonesia, known for its mountain scenery, villas, and as a gateway to nearby peaks like Mount Arjuno.
-
B.
Tanto
Tanto was a former town in Hyōgo Prefecture, Japan, that later became part of the expanded city of Toyooka through municipal merger.
-
C.
Trois
Trois is an erotic thriller film directed by Rob Hardy that gained attention in the early 2000s for its independent production and success within the urban cinema market.
-
D.
Kogo
Kogo is a settlement located in the Litoral region of Equatorial Guinea.
-
E.
Tré
Tré is the stage name of Frank Edwin Wright III, the energetic and long-time drummer of the American punk rock band Green Day.
- 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: Tiga Triple: [Alexander Ridha, hasCollaborationWith, Tiga]
Generated description
Tiga is a Canadian DJ and electronic music producer known for his influential work in techno and electro house.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tiga Target entity description: Tiga is a Canadian DJ and electronic music producer known for his influential work in techno and electro house.
-
A.
Tretes
Tretes is a cool highland resort town in East Java, Indonesia, known for its mountain scenery, villas, and as a gateway to nearby peaks like Mount Arjuno.
-
B.
Tanto
Tanto was a former town in Hyōgo Prefecture, Japan, that later became part of the expanded city of Toyooka through municipal merger.
-
C.
Trois
Trois is an erotic thriller film directed by Rob Hardy that gained attention in the early 2000s for its independent production and success within the urban cinema market.
-
D.
Kogo
Kogo is a settlement located in the Litoral region of Equatorial Guinea.
-
E.
Tré
Tré is the stage name of Frank Edwin Wright III, the energetic and long-time drummer of the American punk rock band Green Day.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2c4debef08190a64f13214bfa098f |
completed | April 17, 2026, 11:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00261134108190812da262b424a476 |
completed | May 10, 2026, 6:30 a.m. |
| NEDg | Description generation | batch_6a0026c9b5c481908f60d2ebfb3f71d7 |
completed | May 10, 2026, 6:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00273dd8fc8190b84b8a96442781ee |
completed | May 10, 2026, 6:35 a.m. |
Created at: April 10, 2026, 5:07 a.m.