Triple
T7574334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EndNote |
E179323
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | EndNote iPad app |
E179323
|
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: EndNote iPad app | Statement: [EndNote, hasComponent, EndNote iPad app]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EndNote iPad app Context triple: [EndNote, hasComponent, EndNote iPad app]
-
A.
EndNote
chosen
EndNote is a reference management software tool used by researchers and students to organize bibliographies, manage citations, and streamline the writing and publishing process.
-
B.
RefWorks
RefWorks is a web-based reference management tool that helps researchers collect, organize, and format citations and bibliographies in various academic styles.
-
C.
Evernote
Evernote is a cross-platform note-taking and organization application that lets users capture, sync, and manage text, images, and other content across devices.
-
D.
Simplenote
Simplenote is a minimalist, cross-platform note-taking app focused on fast, distraction-free writing and seamless cloud syncing.
-
E.
BibTeX
BibTeX is a tool and file format used with LaTeX to manage and format bibliographic references in scholarly documents.
- 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_69c69f316e50819081a271c85c06f918 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f948e1e08190ad807292365a0c27 |
completed | March 27, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c861673ae48190b86e8023fd02771c |
completed | March 28, 2026, 11:16 p.m. |
Created at: March 27, 2026, 3:51 p.m.