Triple
T13757129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love & Hip Hop |
E330504
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object |
Stefan Springman
Stefan Springman is a television producer best known for his executive production work on the reality TV franchise "Love & Hip Hop."
|
E1059208
|
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: Stefan Springman | Statement: [Love & Hip Hop, executiveProducer, Stefan Springman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stefan Springman Context triple: [Love & Hip Hop, executiveProducer, Stefan Springman]
-
A.
Stefan Reinhardt
Stefan Reinhardt is a notable individual who shares the Reinhardt surname, recognized as a distinguished bearer of that family name.
-
B.
Peter Hylenski
Peter Hylenski is a Tony Award–winning American sound designer known for his work on numerous major Broadway productions.
-
C.
Charlie Staadecker
Charlie Staadecker is a Seattle businessman and civic leader who ran as a candidate in the 2013 Seattle mayoral election.
-
D.
Marvin DeWinter
Marvin DeWinter was an architect known for designing the Gerald R. Ford Presidential Museum in Grand Rapids, Michigan.
-
E.
Eddy Hartenstein
Eddy Hartenstein is an American media executive best known for leading the development and growth of the satellite television service DirecTV.
- 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: Stefan Springman Triple: [Love & Hip Hop, executiveProducer, Stefan Springman]
Generated description
Stefan Springman is a television producer best known for his executive production work on the reality TV franchise "Love & Hip Hop."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stefan Springman Target entity description: Stefan Springman is a television producer best known for his executive production work on the reality TV franchise "Love & Hip Hop."
-
A.
Stefan Reinhardt
Stefan Reinhardt is a notable individual who shares the Reinhardt surname, recognized as a distinguished bearer of that family name.
-
B.
Peter Hylenski
Peter Hylenski is a Tony Award–winning American sound designer known for his work on numerous major Broadway productions.
-
C.
Charlie Staadecker
Charlie Staadecker is a Seattle businessman and civic leader who ran as a candidate in the 2013 Seattle mayoral election.
-
D.
Marvin DeWinter
Marvin DeWinter was an architect known for designing the Gerald R. Ford Presidential Museum in Grand Rapids, Michigan.
-
E.
Eddy Hartenstein
Eddy Hartenstein is an American media executive best known for leading the development and growth of the satellite television service DirecTV.
- 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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de022286b481908f8a801042743512 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a85dfa6881908da90886db4aa1bb |
completed | May 3, 2026, 7:56 p.m. |
| NEDg | Description generation | batch_69f7a994cd688190a077a4854c5c71c9 |
completed | May 3, 2026, 8:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7aa32b8c8819088bbc9e478c21c06 |
completed | May 3, 2026, 8:04 p.m. |
Created at: April 9, 2026, 10:09 p.m.