Triple
T1888062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Free Culture |
E41805
|
entity |
| Predicate | subject |
P450
|
FINISHED |
| Object | creative commons |
E565
|
NE FINISHED |
How this triple was built (2 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: creative commons | Statement: [Free Culture, subject, creative commons]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: creative commons Context triple: [Free Culture, subject, creative commons]
-
A.
Creative Commons
chosen
Creative Commons is a nonprofit organization that provides free, standardized copyright licenses to help creators legally share and reuse their work.
-
B.
Creative Commons license
A Creative Commons license is a standardized public copyright license that allows creators to grant the public permission to share, use, and sometimes modify their work under specified conditions.
-
C.
Creative Commons License Chooser
Creative Commons License Chooser is an online tool that guides users through selecting an appropriate Creative Commons license for their creative works based on their sharing and reuse preferences.
-
D.
Commons
Commons is the commonly used abbreviated name for the House of Commons, the lower house of the Parliament of the United Kingdom.
-
E.
Free Culture
Free Culture is a 2004 book by legal scholar Lawrence Lessig that critiques restrictive copyright laws and advocates for a more open, remix-friendly culture.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a8864b6de0819098d089f6a1b910a7 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb12382b481908cd26b56f8558226 |
completed | March 7, 2026, 5:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69addf665bd48190b08ff5159333b99b |
completed | March 8, 2026, 8:43 p.m. |
Created at: March 4, 2026, 7:34 p.m.