Triple
T7937924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OpenStack |
E184327
|
entity |
| Predicate | component |
P35
|
FINISHED |
| Object |
Heat
Heat is OpenStack’s orchestration service that automates the deployment and management of cloud infrastructure using template-based definitions.
|
E703660
|
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: Heat | Statement: [OpenStack, component, Heat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heat Context triple: [OpenStack, component, Heat]
-
A.
Heat
Heat is a 1995 crime thriller film directed by Michael Mann, renowned for its intense heist sequences and the iconic pairing of Al Pacino and Robert De Niro.
-
B.
Heat
Heat is a chapter or section within the novel "Like Water for Chocolate" that focuses on themes of passion, desire, and emotional intensity.
-
C.
Heat Above
"Heat Above" is a soaring, retro-inspired rock song by American band Greta Van Fleet, known for its lush instrumentation and Led Zeppelin–evoking vocals.
-
D.
Hot
"Hot" is a popular trap song by American rapper Young Thug, known for its brass-heavy production and memorable hook.
-
E.
Heat Waves
"Heat Waves" is a hit song by the English indie rock band Glass Animals, known for its mellow, atmospheric sound and widespread chart success.
- 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: Heat Triple: [OpenStack, component, Heat]
Generated description
Heat is OpenStack’s orchestration service that automates the deployment and management of cloud infrastructure using template-based definitions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Heat Target entity description: Heat is OpenStack’s orchestration service that automates the deployment and management of cloud infrastructure using template-based definitions.
-
A.
Heat
Heat is a 1995 crime thriller film directed by Michael Mann, renowned for its intense heist sequences and the iconic pairing of Al Pacino and Robert De Niro.
-
B.
Heat
Heat is a chapter or section within the novel "Like Water for Chocolate" that focuses on themes of passion, desire, and emotional intensity.
-
C.
Heat Above
"Heat Above" is a soaring, retro-inspired rock song by American band Greta Van Fleet, known for its lush instrumentation and Led Zeppelin–evoking vocals.
-
D.
Hot
"Hot" is a popular trap song by American rapper Young Thug, known for its brass-heavy production and memorable hook.
-
E.
Heat Waves
"Heat Waves" is a hit song by the English indie rock band Glass Animals, known for its mellow, atmospheric sound and widespread chart success.
- 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_69cbe019a094819082baecdcb007c84f |
completed | March 31, 2026, 2:54 p.m. |
| NEDg | Description generation | batch_69cbe4f0e94c8190941794411d7cdde3 |
completed | March 31, 2026, 3:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc3363ba748190b04a4a2cafbb3290 |
completed | March 31, 2026, 8:49 p.m. |
Created at: March 30, 2026, 5:08 p.m.