Triple
T4018878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mozilla |
E91230
|
entity |
| Predicate | develops |
P73
|
FINISHED |
| Object | Firefox Focus |
E24810
|
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: Firefox Focus | Statement: [Mozilla, develops, Firefox Focus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Firefox Focus Context triple: [Mozilla, develops, Firefox Focus]
-
A.
Firefox
Firefox is a 1982 American techno-thriller film directed by and starring Clint Eastwood, centered on a Cold War mission to steal a cutting-edge Soviet fighter jet.
-
B.
Mozilla Firefox
chosen
Mozilla Firefox is a free, open-source web browser developed by Mozilla, known for its strong privacy features, customizability, and support for open web standards.
-
C.
Cent Browser
Cent Browser is a Chromium-based web browser for Windows that offers enhanced privacy, customization, and productivity features beyond the standard Chrome experience.
-
D.
Google Chrome
Google Chrome is a widely used cross-platform web browser developed by Google, known for its speed, simplicity, and integration with Google services.
-
E.
Torch Browser
Torch Browser is a Chromium-based web browser known for its built-in media downloading, torrent management, and social media integration features.
- 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_69aed9618b04819081750d979d2af098 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaa984948190a252eaeb9dbae454 |
completed | March 9, 2026, 4:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54c7cb0ec8190b7e4646a934ddb07 |
completed | March 14, 2026, 11:54 a.m. |
Created at: March 9, 2026, 3:35 p.m.