Triple
T15134185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Telefone |
E361509
|
entity |
| Predicate | hasGuestAppearance |
P4920
|
FINISHED |
| Object |
Akenya
Akenya is a Chicago-based singer, songwriter, and multi-instrumentalist known for her genre-blending work in jazz, soul, and hip-hop collaborations.
|
E1137936
|
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: Akenya | Statement: [Telefone, hasGuestAppearance, Akenya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Akenya Context triple: [Telefone, hasGuestAppearance, Akenya]
-
A.
Akwanga
Akwanga is a town and administrative center in central Nigeria known for its role as a commercial and educational hub in Nasarawa State.
-
B.
Akanland
Akanland is the traditional homeland of the Akan people in West Africa, known for its rich cultural heritage, festivals, and historical kingdoms such as Ashanti.
-
C.
Uarekena
Uarekena is an indigenous Arawakan language spoken by the Warekena people in parts of Brazil and Venezuela.
-
D.
Nilekani
Nilekani is the surname of Nandan Nilekani, the Indian entrepreneur, co-founder of Infosys, and architect of the Aadhaar digital identity program.
-
E.
Nuba
Nuba is a Palestinian village located in the Hebron Governorate in the southern West Bank.
- 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: Akenya Triple: [Telefone, hasGuestAppearance, Akenya]
Generated description
Akenya is a Chicago-based singer, songwriter, and multi-instrumentalist known for her genre-blending work in jazz, soul, and hip-hop collaborations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Akenya Target entity description: Akenya is a Chicago-based singer, songwriter, and multi-instrumentalist known for her genre-blending work in jazz, soul, and hip-hop collaborations.
-
A.
Akwanga
Akwanga is a town and administrative center in central Nigeria known for its role as a commercial and educational hub in Nasarawa State.
-
B.
Akanland
Akanland is the traditional homeland of the Akan people in West Africa, known for its rich cultural heritage, festivals, and historical kingdoms such as Ashanti.
-
C.
Uarekena
Uarekena is an indigenous Arawakan language spoken by the Warekena people in parts of Brazil and Venezuela.
-
D.
Nilekani
Nilekani is the surname of Nandan Nilekani, the Indian entrepreneur, co-founder of Infosys, and architect of the Aadhaar digital identity program.
-
E.
Nuba
Nuba is a Palestinian village located in the Hebron Governorate in the southern West Bank.
- 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_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005b29a4c819087f8818e3f5788f5 |
completed | April 15, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7fd3c448190b4b06fdc1ab2c6a7 |
completed | May 9, 2026, 4:28 a.m. |
| NEDg | Description generation | batch_69feb8bb774481908272929358817440 |
completed | May 9, 2026, 4:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feb9384b4c81909fe80dec3abc1659 |
completed | May 9, 2026, 4:34 a.m. |
Created at: April 10, 2026, 3:06 a.m.