Triple
T18290206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baby on Baby |
E438090
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Foreign Teck
Foreign Teck is a hip-hop record producer known for crafting hard-hitting, melodic beats for prominent rap artists.
|
E1316722
|
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: Foreign Teck | Statement: [Baby on Baby, producer, Foreign Teck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Foreign Teck Context triple: [Baby on Baby, producer, Foreign Teck]
-
A.
Tehkal
Tehkal is a neighborhood and administrative area within the city of Peshawar in Pakistan’s Khyber Pakhtunkhwa province.
-
B.
Soon-Tek
Soon-Tek is the given name of Soon-Tek Oh, a Korean-American actor known for his roles in film, television, and voice acting.
-
C.
TEC
TEC is a public transport company in Belgium that operates regional bus and other transit services, primarily in the Walloon region.
-
D.
TEC
TEC is the commonly used acronym for the Episcopal Church, a mainline Anglican Christian denomination based in the United States.
-
E.
TEC
TEC is the abbreviation for the Transatlantic Economic Council, a high-level forum for coordinating economic policy and regulatory cooperation between the United States and the European Union.
- 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: Foreign Teck Triple: [Baby on Baby, producer, Foreign Teck]
Generated description
Foreign Teck is a hip-hop record producer known for crafting hard-hitting, melodic beats for prominent rap artists.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Foreign Teck Target entity description: Foreign Teck is a hip-hop record producer known for crafting hard-hitting, melodic beats for prominent rap artists.
-
A.
Tehkal
Tehkal is a neighborhood and administrative area within the city of Peshawar in Pakistan’s Khyber Pakhtunkhwa province.
-
B.
Soon-Tek
Soon-Tek is the given name of Soon-Tek Oh, a Korean-American actor known for his roles in film, television, and voice acting.
-
C.
TEC
TEC is a public transport company in Belgium that operates regional bus and other transit services, primarily in the Walloon region.
-
D.
TEC
TEC is the abbreviation for the Transatlantic Economic Council, a high-level forum for coordinating economic policy and regulatory cooperation between the United States and the European Union.
-
E.
TEC
TEC is the commonly used acronym for the Episcopal Church, a mainline Anglican Christian denomination based in the United States.
- 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_69d8b914530c8190b4474d862a2b2a1b |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e500fd65888190afdbb29dc60066af |
completed | April 19, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03bb5612448190a72548b7dd7c3dc7 |
completed | May 12, 2026, 11:44 p.m. |
| NEDg | Description generation | batch_6a03bbfa0da481908bb0e388dcbe9913 |
completed | May 12, 2026, 11:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03bd6078b88190887a32099fc31db0 |
completed | May 12, 2026, 11:53 p.m. |
Created at: April 10, 2026, 10:35 a.m.