Triple
T8037940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Rotenberg |
E187157
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Hoops
Hoops is a television series associated with producer and manager Michael Rotenberg.
|
E708638
|
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: Hoops | Statement: [Michael Rotenberg, notableWork, Hoops]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hoops Context triple: [Michael Rotenberg, notableWork, Hoops]
-
A.
The Hoops
The Hoops is a common nickname for FC Dallas, a professional Major League Soccer club based in the Dallas–Fort Worth metroplex.
-
B.
The Hoops
The Hoops is a popular nickname for Celtic F.C., the Glasgow-based Scottish football club known for its green and white hooped shirts.
-
C.
The Hoops
The Hoops is the commonly used nickname for Oxford City Football Club, an English football team based in Oxford.
-
D.
The Hoops
The Hoops is a common nickname for Queens Park Rangers Football Club, an English professional football team based in West London.
-
E.
Ballers
Ballers is an American comedy-drama television series that follows the lives of current and former NFL players, focusing on the off-field challenges of sports, business, and fame.
- 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: Hoops Triple: [Michael Rotenberg, notableWork, Hoops]
Generated description
Hoops is a television series associated with producer and manager Michael Rotenberg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hoops Target entity description: Hoops is a television series associated with producer and manager Michael Rotenberg.
-
A.
The Hoops
The Hoops is a common nickname for FC Dallas, a professional Major League Soccer club based in the Dallas–Fort Worth metroplex.
-
B.
The Hoops
The Hoops is a popular nickname for Celtic F.C., the Glasgow-based Scottish football club known for its green and white hooped shirts.
-
C.
The Hoops
The Hoops is a common nickname for Queens Park Rangers Football Club, an English professional football team based in West London.
-
D.
The Hoops
The Hoops is the commonly used nickname for Oxford City Football Club, an English football team based in Oxford.
-
E.
Ballers
Ballers is an American comedy-drama television series that follows the lives of current and former NFL players, focusing on the off-field challenges of sports, business, and fame.
- 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_69ca82ae2d1081909dbfee42b41db419 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3f19a6b4819085e2887fb0c54d08 |
completed | March 31, 2026, 3:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc570090a48190b84ba8325563148e |
completed | March 31, 2026, 11:21 p.m. |
| NEDg | Description generation | batch_69cc58ecd0608190ab0880992bc203fb |
completed | March 31, 2026, 11:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc5cc2f71081909cb7c0c245368edb |
completed | March 31, 2026, 11:46 p.m. |
Created at: March 30, 2026, 5:23 p.m.