Triple
T8285398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canonical Ltd. |
E193775
|
entity |
| Predicate | product |
P490
|
FINISHED |
| Object | Juju |
E724143
|
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: Juju | Statement: [Canonical Ltd., product, Juju]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Juju Context triple: [Canonical Ltd., product, Juju]
-
A.
Juju
Juju is a familiar diminutive nickname commonly used for the given name Julien.
-
B.
Juju
Juju is a 1981 post-punk/gothic rock album by Siouxsie and the Banshees, widely regarded as one of their most influential and critically acclaimed releases.
-
C.
Juju
chosen
Juju is an open-source application modeling and orchestration tool developed by Canonical for deploying, managing, and scaling services across cloud and container environments.
-
D.
Juju Dhau
Juju Dhau is a famous Newari-style sweet yogurt delicacy, traditionally made from buffalo milk and celebrated as a specialty dessert of Bhaktapur, Nepal.
-
E.
Jamnik
Jamnik is a character from B.F. Skinner’s utopian novel "Walden Two," representing one of the community members shaped by its behaviorist social principles.
- 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_69ca82e32db481908b72f3804fa71152 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7ad20ae481908179aba245c73fad |
completed | March 31, 2026, 7:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd952399dc8190914951d4e9e36c38 |
completed | April 1, 2026, 9:58 p.m. |
Created at: March 30, 2026, 5:52 p.m.