Triple
T7937929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OpenStack |
E184327
|
entity |
| Predicate | component |
P35
|
FINISHED |
| Object |
Magnum
Magnum is an OpenStack service that provides container orchestration engines like Kubernetes and Docker Swarm on OpenStack infrastructure.
|
E699720
|
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: Magnum | Statement: [OpenStack, component, Magnum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Magnum Context triple: [OpenStack, component, Magnum]
-
A.
Magnum
Magnum is a popular global ice cream brand known for its premium chocolate-coated ice cream bars.
-
B.
Magnum Photos
Magnum Photos is a renowned international photographic cooperative founded in 1947, known for its influential documentary and photojournalistic work by some of the world’s leading photographers.
-
C.
Bridgeman
Bridgeman is an English surname historically associated with British nobility and aristocratic families.
-
D.
Menil Collection
The Menil Collection is a renowned art museum and campus in Houston, Texas, celebrated for its extensive modern and contemporary art holdings and its serene, light-filled buildings designed by architect Renzo Piano.
-
E.
Magazia
Magazia is a small village on the Greek island of Paxos, known for its traditional character and tranquil, rural setting.
- 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: Magnum Triple: [OpenStack, component, Magnum]
Generated description
Magnum is an OpenStack service that provides container orchestration engines like Kubernetes and Docker Swarm on OpenStack infrastructure.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Magnum Target entity description: Magnum is an OpenStack service that provides container orchestration engines like Kubernetes and Docker Swarm on OpenStack infrastructure.
-
A.
Magnum
Magnum is a popular global ice cream brand known for its premium chocolate-coated ice cream bars.
-
B.
Magnum Photos
Magnum Photos is a renowned international photographic cooperative founded in 1947, known for its influential documentary and photojournalistic work by some of the world’s leading photographers.
-
C.
Bridgeman
Bridgeman is an English surname historically associated with British nobility and aristocratic families.
-
D.
Menil Collection
The Menil Collection is a renowned art museum and campus in Houston, Texas, celebrated for its extensive modern and contemporary art holdings and its serene, light-filled buildings designed by architect Renzo Piano.
-
E.
Magazia
Magazia is a small village on the Greek island of Paxos, known for its traditional character and tranquil, rural setting.
- 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_69ca8290c21c8190906a5ca6fe2b03c4 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3aef2394819086eea1f6ab117aed |
completed | March 31, 2026, 3:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5c0a96ac819099ad30fb925eb329 |
completed | March 31, 2026, 5:30 a.m. |
| NEDg | Description generation | batch_69cb7634f4dc8190b5e537f24bccd651 |
completed | March 31, 2026, 7:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cbb67e77a48190b93c6ba61becfac4 |
completed | March 31, 2026, 11:56 a.m. |
Created at: March 30, 2026, 5:08 p.m.