Triple
T10262097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Symbolyc One |
E240623
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
S1
S1 is the professional alias of Symbolyc One, a Grammy-winning American hip-hop and R&B record producer known for his work with artists like Kanye West and Beyoncé.
|
E851672
|
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: S1 | Statement: [Symbolyc One, alsoKnownAs, S1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: S1 Context triple: [Symbolyc One, alsoKnownAs, S1]
-
A.
S1
S1 is one of Munich’s S-Bahn commuter rail lines that connects the city center with its northwestern suburbs and Munich Airport.
-
B.
S1
S1 is a key commuter rail line of the Berlin S-Bahn network, connecting central Berlin with its northern and southwestern suburbs.
-
C.
S1
S1 is a key commuter rail line of the Stuttgart S-Bahn network, connecting central Stuttgart with its surrounding suburbs and regional destinations.
-
D.
S1
S1 is a regional S-Bahn rail line within Germany’s Rhine-Ruhr metropolitan transit network, connecting key cities and suburbs in the area.
-
E.
S1
S1 is a commuter rail line of the Nuremberg S-Bahn network serving the greater Nuremberg metropolitan area in Germany.
- 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: S1 Triple: [Symbolyc One, alsoKnownAs, S1]
Generated description
S1 is the professional alias of Symbolyc One, a Grammy-winning American hip-hop and R&B record producer known for his work with artists like Kanye West and Beyoncé.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: S1 Target entity description: S1 is the professional alias of Symbolyc One, a Grammy-winning American hip-hop and R&B record producer known for his work with artists like Kanye West and Beyoncé.
-
A.
S1
S1 is a key commuter rail line of the Berlin S-Bahn network, connecting central Berlin with its northern and southwestern suburbs.
-
B.
S1
S1 is a commuter rail line of the Nuremberg S-Bahn network serving the greater Nuremberg metropolitan area in Germany.
-
C.
S1
S1 is a key commuter rail line of the Stuttgart S-Bahn network, connecting central Stuttgart with its surrounding suburbs and regional destinations.
-
D.
S1
S1 is one of Munich’s S-Bahn commuter rail lines that connects the city center with its northwestern suburbs and Munich Airport.
-
E.
S1
S1 is a regional S-Bahn rail line within Germany’s Rhine-Ruhr metropolitan transit network, connecting key cities and suburbs in the area.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d25c8dec8190af9160d9338ffc9c |
completed | April 7, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f7f81dd481909022efde8fc46e68 |
completed | April 9, 2026, 12:51 a.m. |
| NEDg | Description generation | batch_69d6fcabb5a08190a26c068163f48878 |
completed | April 9, 2026, 1:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6fd7212b88190b410b8e1cc6f56fd |
completed | April 9, 2026, 1:14 a.m. |
Created at: April 6, 2026, 11:32 a.m.