Triple
T18015761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bottle |
E430994
|
entity |
| Predicate | supports |
P516
|
FINISHED |
| Object |
cherrypy
CherryPy is a minimalist, object-oriented web framework for Python that allows developers to build web applications in a simple and pythonic way.
|
E1300960
|
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: cherrypy | Statement: [Bottle, supports, cherrypy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: cherrypy Context triple: [Bottle, supports, cherrypy]
-
A.
Cherry Pop
Cherry Pop is a 2017 comedy film set in a drag bar, following the chaotic and humorous events of one wild night among its eccentric performers.
-
B.
Cherry Peel
Cherry Peel is the debut studio album by indie pop band Of Montreal, known for its lo-fi production and whimsical, introspective songwriting.
-
C.
RC Cherry
RC Cherry is a cherry-flavored soft drink variant of the RC Cola brand.
-
D.
Cherry
Cherry is a song by the electronic rock duo Ratatat, known for its melodic guitar lines and atmospheric, instrumental style.
-
E.
Cherry
Cherry is a film featuring actor Forrest Goodluck in a significant role.
- 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: cherrypy Triple: [Bottle, supports, cherrypy]
Generated description
CherryPy is a minimalist, object-oriented web framework for Python that allows developers to build web applications in a simple and pythonic way.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: cherrypy Target entity description: CherryPy is a minimalist, object-oriented web framework for Python that allows developers to build web applications in a simple and pythonic way.
-
A.
Cherry Pop
Cherry Pop is a 2017 comedy film set in a drag bar, following the chaotic and humorous events of one wild night among its eccentric performers.
-
B.
Cherry Peel
Cherry Peel is the debut studio album by indie pop band Of Montreal, known for its lo-fi production and whimsical, introspective songwriting.
-
C.
RC Cherry
RC Cherry is a cherry-flavored soft drink variant of the RC Cola brand.
-
D.
Cherry
Cherry is a film featuring actor Forrest Goodluck in a significant role.
-
E.
Cherry
Cherry is a common English surname borne by various individuals, including American actor Jake Cherry.
- 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b523f588819097389e067dda7f23 |
completed | April 19, 2026, 10:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a034324daec8190a9bbec1ad80c70f9 |
completed | May 12, 2026, 3:11 p.m. |
| NEDg | Description generation | batch_6a0343dc91688190ae8e2f051cefef85 |
completed | May 12, 2026, 3:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0344b6f4e081908ff2fbc7bfa4c4e1 |
completed | May 12, 2026, 3:18 p.m. |
Created at: April 10, 2026, 10:24 a.m.