Triple
T15236957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orange Krush |
E364149
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object |
Krush
Krush is a nickname commonly associated with Orange Krush, a popular orange-flavored soft drink brand.
|
E1145309
|
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: Krush | Statement: [Orange Krush, hasNickname, Krush]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Krush Context triple: [Orange Krush, hasNickname, Krush]
-
A.
TKO (The Knock Out)
TKO (The Knock Out) is a studio album by American singer Mýa that showcases her blend of R&B, soul, and contemporary urban sounds.
-
B.
The Wrestlers
The Wrestlers is a painting by American Ashcan School artist George Luks that vividly depicts the raw energy and physicality of a wrestling match.
-
C.
Kortajarena
Kortajarena is the surname of Spanish model and actor Jon Kortajarena, known internationally for his work in high fashion and film.
-
D.
The Knockout
"The Knockout" is a 1914 silent comedy film best known for featuring early screen appearances by Charlie Chaplin and Roscoe "Fatty" Arbuckle.
-
E.
Flair
Flair is a popular line of felt-tip pens known for their smooth writing and vibrant ink, produced under the Paper Mate brand.
- 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: Krush Triple: [Orange Krush, hasNickname, Krush]
Generated description
Krush is a nickname commonly associated with Orange Krush, a popular orange-flavored soft drink brand.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Krush Target entity description: Krush is a nickname commonly associated with Orange Krush, a popular orange-flavored soft drink brand.
-
A.
TKO (The Knock Out)
TKO (The Knock Out) is a studio album by American singer Mýa that showcases her blend of R&B, soul, and contemporary urban sounds.
-
B.
The Wrestlers
The Wrestlers is a painting by American Ashcan School artist George Luks that vividly depicts the raw energy and physicality of a wrestling match.
-
C.
Kortajarena
Kortajarena is the surname of Spanish model and actor Jon Kortajarena, known internationally for his work in high fashion and film.
-
D.
The Knockout
"The Knockout" is a 1914 silent comedy film best known for featuring early screen appearances by Charlie Chaplin and Roscoe "Fatty" Arbuckle.
-
E.
Flair
Flair is a popular line of felt-tip pens known for their smooth writing and vibrant ink, produced under the Paper Mate brand.
- 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007da7e988190925a9b67b8070bc7 |
completed | April 15, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fedd3f9d308190af5374f0362c62f5 |
completed | May 9, 2026, 7:07 a.m. |
| NEDg | Description generation | batch_69feded546688190b931b60a55babcd0 |
completed | May 9, 2026, 7:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fedf72e6148190afbfbe92ed2ed277 |
completed | May 9, 2026, 7:17 a.m. |
Created at: April 10, 2026, 3:12 a.m.