Triple
T9497597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cheetah |
E229048
|
entity |
| Predicate | includesFramework |
P1393
|
FINISHED |
| Object | Carbon |
E215099
|
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: Carbon | Statement: [Cheetah, includesFramework, Carbon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carbon Context triple: [Cheetah, includesFramework, Carbon]
-
A.
Carbon
chosen
Carbon is a now-deprecated C-based application programming interface (API) for macOS that was designed to help developers port and run classic Mac OS applications on Mac OS X.
-
B.
Carbon Black
Carbon Black is a cybersecurity company known for its cloud-native endpoint and workload protection platform that helps organizations prevent, detect, and respond to advanced cyber threats.
-
C.
Carbonne
Carbonne is a small commune in southwestern France, known for its picturesque setting along the Garonne River and traditional rural charm.
-
D.
carbonite
Carbonite is a fictional freezing substance in the Star Wars universe used to encase living beings in suspended animation, most famously Han Solo.
-
E.
Carborundum
Carborundum is a trademarked brand name most commonly associated with silicon carbide abrasives and related industrial materials.
- 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_69ca84753660819098e8d416e89e26ae |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd95ef06b88190b7a840caddea3e38 |
completed | April 1, 2026, 10:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d12d3aafb88190ac53289039bca88a |
completed | April 4, 2026, 3:24 p.m. |
Created at: March 30, 2026, 7:56 p.m.