Triple
T16569600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shock Value II |
E402549
|
entity |
| Predicate | featuresArtist |
P1952
|
FINISHED |
| Object |
Soshy
Soshy is a French singer and songwriter known for her pop and electronic-influenced collaborations, including work with major international artists.
|
E1220791
|
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: Soshy | Statement: [Shock Value II, featuresArtist, Soshy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Soshy Context triple: [Shock Value II, featuresArtist, Soshy]
-
A.
Sosie
Sosie is an American actress known for roles in projects like "Mare of Easttown" and "Smile," and as the daughter of actors Kevin Bacon and Kyra Sedgwick.
-
B.
Sosanya
Sosanya is a surname most notably associated with British actress Nina Sosanya, known for her extensive work in television, film, and theatre.
-
C.
Soch
Soch is a 2002 Indian Hindi-language psychological thriller film starring Sanjay Kapoor, Raveena Tandon, and Arbaaz Khan, loosely inspired by Alfred Hitchcock’s "Strangers on a Train."
-
D.
Sozh
The Sozh is a major river in Eastern Europe that flows through Russia, Belarus, and Ukraine before joining the Dnieper.
-
E.
Sosoxui
Sosoxui is the endonym (native name) used by the Susu people for their own language and identity.
- 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: Soshy Triple: [Shock Value II, featuresArtist, Soshy]
Generated description
Soshy is a French singer and songwriter known for her pop and electronic-influenced collaborations, including work with major international artists.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Soshy Target entity description: Soshy is a French singer and songwriter known for her pop and electronic-influenced collaborations, including work with major international artists.
-
A.
Sosie
Sosie is an American actress known for roles in projects like "Mare of Easttown" and "Smile," and as the daughter of actors Kevin Bacon and Kyra Sedgwick.
-
B.
Sosanya
Sosanya is a surname most notably associated with British actress Nina Sosanya, known for her extensive work in television, film, and theatre.
-
C.
Soch
Soch is a 2002 Indian Hindi-language psychological thriller film starring Sanjay Kapoor, Raveena Tandon, and Arbaaz Khan, loosely inspired by Alfred Hitchcock’s "Strangers on a Train."
-
D.
Sozh
The Sozh is a major river in Eastern Europe that flows through Russia, Belarus, and Ukraine before joining the Dnieper.
-
E.
Sosoxui
Sosoxui is the endonym (native name) used by the Susu people for their own language and identity.
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e359580f548190a21afd148bc22d8d |
completed | April 18, 2026, 10:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006ee616a0819089b3cdc1da951735 |
completed | May 10, 2026, 11:41 a.m. |
| NEDg | Description generation | batch_6a006f9043b8819086143b2ec0cf1657 |
completed | May 10, 2026, 11:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00701fc1848190b3248a70b462eab1 |
completed | May 10, 2026, 11:46 a.m. |
Created at: April 10, 2026, 5:16 a.m.