Triple
T10950986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Die Rothosen |
E258724
|
entity |
| Predicate | meaning |
P129
|
FINISHED |
| Object |
The Red Shorts
The Red Shorts is the English translation of the German nickname "Die Rothosen," commonly used to refer to sports teams that wear red shorts, most notably Hamburger SV.
|
E894700
|
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: The Red Shorts | Statement: [Die Rothosen, meaning, The Red Shorts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Red Shorts Context triple: [Die Rothosen, meaning, The Red Shorts]
-
A.
Showing Out
"Showing Out" is a track by hip-hop duo Clipse from their 2009 studio album "Til the Casket Drops."
-
B.
Men in Red
Men in Red is a popular nickname for Chicago Fire FC, the Major League Soccer club based in Chicago.
-
C.
A Few Quick Ones
A Few Quick Ones is a collection of humorous short stories by P. G. Wodehouse, many of which feature his recurring characters and comic settings.
-
D.
Red's Dream
Red's Dream is a 1987 Pixar animated short film that follows the melancholy fantasy life of a unicycle longing to be part of a circus act.
-
E.
Thunderpants
Thunderpants is a 2002 British family comedy film about a boy with an extraordinary flatulence problem who ends up becoming an unlikely hero.
- 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: The Red Shorts Triple: [Die Rothosen, meaning, The Red Shorts]
Generated description
The Red Shorts is the English translation of the German nickname "Die Rothosen," commonly used to refer to sports teams that wear red shorts, most notably Hamburger SV.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Red Shorts Target entity description: The Red Shorts is the English translation of the German nickname "Die Rothosen," commonly used to refer to sports teams that wear red shorts, most notably Hamburger SV.
-
A.
Showing Out
"Showing Out" is a track by hip-hop duo Clipse from their 2009 studio album "Til the Casket Drops."
-
B.
Men in Red
Men in Red is a popular nickname for Chicago Fire FC, the Major League Soccer club based in Chicago.
-
C.
A Few Quick Ones
A Few Quick Ones is a collection of humorous short stories by P. G. Wodehouse, many of which feature his recurring characters and comic settings.
-
D.
Red's Dream
Red's Dream is a 1987 Pixar animated short film that follows the melancholy fantasy life of a unicycle longing to be part of a circus act.
-
E.
Thunderpants
Thunderpants is a 2002 British family comedy film about a boy with an extraordinary flatulence problem who ends up becoming an unlikely hero.
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770fc156c8190826e124c13ce7242 |
completed | April 9, 2026, 9:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23c57038c819087671177c2ed5633 |
completed | April 17, 2026, 1:57 p.m. |
| NEDg | Description generation | batch_69e24543bd2c8190a3c807baa76c30f6 |
completed | April 17, 2026, 2:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e25d11ef24819091e730ae2416a058 |
completed | April 17, 2026, 4:17 p.m. |
Created at: April 8, 2026, 9:23 p.m.