Triple
T12490900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Street OT |
E298557
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Skelemba
Skelemba is a track by the artist Street OT, likely within the hip-hop or street music genre.
|
E988154
|
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: Skelemba | Statement: [Street OT, hasTrack, Skelemba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skelemba Context triple: [Street OT, hasTrack, Skelemba]
-
A.
Sekeletu
Sekeletu was a 19th-century king of the Makololo people in present-day Zambia, known for his interactions with the explorer David Livingstone and his role in regional Central African politics.
-
B.
Krakhuna
Krakhuna is a Georgian white grape variety from the Imereti region, known for producing aromatic, full-bodied wines with pronounced acidity.
-
C.
Balantak
Balantak is an Austronesian language of central Sulawesi, Indonesia, closely related to and often grouped with the Saluan language.
-
D.
Skeletun
Skeletun is a popular Nigerian Afrobeats song by Tekno known for its catchy rhythm and danceable vibe.
-
E.
Soulamea
Soulamea is a small genus of flowering plants in the quassia family, known for its tropical distribution and often bitter, medicinally used compounds.
- 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: Skelemba Triple: [Street OT, hasTrack, Skelemba]
Generated description
Skelemba is a track by the artist Street OT, likely within the hip-hop or street music genre.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Skelemba Target entity description: Skelemba is a track by the artist Street OT, likely within the hip-hop or street music genre.
-
A.
Sekeletu
Sekeletu was a 19th-century king of the Makololo people in present-day Zambia, known for his interactions with the explorer David Livingstone and his role in regional Central African politics.
-
B.
Krakhuna
Krakhuna is a Georgian white grape variety from the Imereti region, known for producing aromatic, full-bodied wines with pronounced acidity.
-
C.
Balantak
Balantak is an Austronesian language of central Sulawesi, Indonesia, closely related to and often grouped with the Saluan language.
-
D.
Skeletun
Skeletun is a popular Nigerian Afrobeats song by Tekno known for its catchy rhythm and danceable vibe.
-
E.
Soulamea
Soulamea is a small genus of flowering plants in the quassia family, known for its tropical distribution and often bitter, medicinally used compounds.
- 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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94de3076c81909640c982d520ca6b |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64ba9e1108190b74984d9da9baebe |
completed | May 2, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_69f64c535c9881908e5bf07d13fa73c5 |
completed | May 2, 2026, 7:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6508afef08190ac7a19b1ee90141e |
completed | May 2, 2026, 7:29 p.m. |
Created at: April 8, 2026, 9:56 p.m.