Triple
T22572945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Advance |
E544320
|
entity |
| Predicate | owns |
P347
|
FINISHED |
| Object | Turnitin |
—
|
NE NERFINISHED |
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: Turnitin | Statement: [Advance, owns, Turnitin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Turnitin Context triple: [Advance, owns, Turnitin]
-
A.
Turnitin
chosen
Turnitin is a widely used academic integrity and plagiarism-detection platform that compares student work against vast databases of content to identify potential copying and improper citation.
-
B.
Gradescope
Gradescope is an online grading and assessment platform widely used in education to streamline assignment submission, grading, and feedback for instructors and students.
-
C.
Overleaf
Overleaf is a cloud-based collaborative LaTeX editing platform that allows users to write, share, and compile documents directly in a web browser.
-
D.
Writers’ Lab
Writers’ Lab is a screenwriting and story development program offered by the Canadian Film Centre to support and train emerging and mid-career writers for film and television.
-
E.
MindTap
MindTap is Cengage Learning’s digital learning platform that delivers interactive course materials, assessments, and personalized study tools for students and instructors.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e30d05481909df915354c89f0d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f15fe958e881909b58a5439f2c6a35 |
completed | April 29, 2026, 1:33 a.m. |
Created at: April 16, 2026, 8:53 p.m.