Triple
T9712800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Podman |
E235059
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object |
Skopeo
Skopeo is a command-line utility for inspecting, copying, and managing container images across different container registries without requiring a local container engine.
|
E816916
|
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: Skopeo | Statement: [Podman, relatedTo, Skopeo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skopeo Context triple: [Podman, relatedTo, Skopeo]
-
A.
Dockers
Dockers is the common nickname for the Fremantle Dockers, an Australian Football League (AFL) club based in Fremantle, Western Australia.
-
B.
Open Sea
Open Sea is a major Monterey Bay Aquarium exhibit featuring a vast pelagic habitat with large open-ocean species such as tunas, sharks, rays, and sea turtles.
-
C.
Corsair
Corsair is a computer hardware and peripherals company best known for its gaming-focused products such as keyboards, mice, headsets, and PC components.
-
D.
Kuber
Kuber is a name variant of Kubera, the Hindu god of wealth and the guardian of treasures and prosperity.
-
E.
Repossi
Repossi is a high-end Italian jewelry house renowned for its avant-garde, architectural designs and strong heritage in fine jewelry craftsmanship.
- 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: Skopeo Triple: [Podman, relatedTo, Skopeo]
Generated description
Skopeo is a command-line utility for inspecting, copying, and managing container images across different container registries without requiring a local container engine.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Skopeo Target entity description: Skopeo is a command-line utility for inspecting, copying, and managing container images across different container registries without requiring a local container engine.
-
A.
Dockers
Dockers is the common nickname for the Fremantle Dockers, an Australian Football League (AFL) club based in Fremantle, Western Australia.
-
B.
Open Sea
Open Sea is a major Monterey Bay Aquarium exhibit featuring a vast pelagic habitat with large open-ocean species such as tunas, sharks, rays, and sea turtles.
-
C.
Corsair
Corsair is a computer hardware and peripherals company best known for its gaming-focused products such as keyboards, mice, headsets, and PC components.
-
D.
Kuber
Kuber is a name variant of Kubera, the Hindu god of wealth and the guardian of treasures and prosperity.
-
E.
Repossi
Repossi is a high-end Italian jewelry house renowned for its avant-garde, architectural designs and strong heritage in fine jewelry craftsmanship.
- 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_69ca84cd8fa0819090a5e243ceb37003 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e0705f8819095852263009c28c5 |
completed | April 1, 2026, 10:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19f8c26dc8190a6fa21bde27ba6fa |
completed | April 4, 2026, 11:32 p.m. |
| NEDg | Description generation | batch_69d1a0326dd081909e39e422c11cc08f |
completed | April 4, 2026, 11:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1a0c05aa88190a93b0b71bef5c417 |
completed | April 4, 2026, 11:37 p.m. |
Created at: March 30, 2026, 8:19 p.m.