Triple
T10851955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canonical Ltd. |
E256166
|
entity |
| Predicate | product |
P490
|
FINISHED |
| Object |
Snaps
Snaps is a software product developed by Canonical Ltd., best known for simplifying the packaging, distribution, and updating of applications across different Linux distributions.
|
E888833
|
NE FINISHED |
How this triple was built (4 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: Snaps | Statement: [Canonical Ltd., product, Snaps]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Snaps Context triple: [Canonical Ltd., product, Snaps]
-
A.
The Snap
The Snap is the catastrophic event in the Marvel Cinematic Universe where Thanos uses the Infinity Gauntlet to erase half of all life in the universe.
-
B.
Snap
Snap is a technology and social media company best known for creating Snapchat and developing camera-focused hardware and augmented reality products.
-
C.
Snap
Snap is the superhero alias used by Marvel Comics character Sam Wilson, better known as the Falcon and the second Captain America.
-
D.
Schnapp
Schnapp is the surname of American actor Noah Schnapp, best known for his role as Will Byers in the television series "Stranger Things."
-
E.
Ruffles
Ruffles is a popular brand of ridged potato chips known for their thick, crinkled texture and strong flavor varieties.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Snaps Triple: [Canonical Ltd., product, Snaps]
Generated description
Snaps is a software product developed by Canonical Ltd., best known for simplifying the packaging, distribution, and updating of applications across different Linux distributions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Snaps Target entity description: Snaps is a software product developed by Canonical Ltd., best known for simplifying the packaging, distribution, and updating of applications across different Linux distributions.
-
A.
The Snap
The Snap is the catastrophic event in the Marvel Cinematic Universe where Thanos uses the Infinity Gauntlet to erase half of all life in the universe.
-
B.
Snap
Snap is a technology and social media company best known for creating Snapchat and developing camera-focused hardware and augmented reality products.
-
C.
Snap
Snap is the superhero alias used by Marvel Comics character Sam Wilson, better known as the Falcon and the second Captain America.
-
D.
Schnapp
Schnapp is the surname of American actor Noah Schnapp, best known for his role as Will Byers in the television series "Stranger Things."
-
E.
Ruffles
Ruffles is a popular brand of ridged potato chips known for their thick, crinkled texture and strong flavor varieties.
- F. None of above. chosen
Provenance (5 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_69d6aa83d1448190a66d93c32394d21f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75117b76c8190b0fb216b1428c3c7 |
completed | April 9, 2026, 7:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69deb17d978c8190883b4a56e88859de |
completed | April 14, 2026, 9:28 p.m. |
| NEDg | Description generation | batch_69deb515ab608190981689bcad4b7530 |
completed | April 14, 2026, 9:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69deb602fa908190bffdd291932da3f1 |
completed | April 14, 2026, 9:47 p.m. |
Created at: April 8, 2026, 9:20 p.m.