Triple
T12163486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kodak Alaris |
E289769
|
entity |
| Predicate | hasBusinessUnit |
P7588
|
FINISHED |
| Object |
Alaris
Alaris is a business unit of Kodak Alaris that specializes in information capture solutions, including document scanners and related software and services.
|
E966537
|
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: Alaris | Statement: [Kodak Alaris, hasBusinessUnit, Alaris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alaris Context triple: [Kodak Alaris, hasBusinessUnit, Alaris]
-
A.
Fillion
Fillion is the surname of Canadian-American actor Nathan Fillion, best known for his leading roles in the television series "Firefly" and "Castle."
-
B.
Avisio
Avisio is a river in northern Italy that flows through the Trentino region before joining the Adige.
-
C.
Bortus
Bortus is a stoic, duty-bound Moclan officer serving as second-in-command aboard the exploratory spaceship in the sci-fi comedy series "The Orville."
-
D.
Baxter
Baxter is a small community or locality associated with the area of Essa, likely within the municipality of Essa in Ontario, Canada.
-
E.
Baxter
Baxter is a film editor known for working on the dark fantasy horror movie "Horns."
- 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: Alaris Triple: [Kodak Alaris, hasBusinessUnit, Alaris]
Generated description
Alaris is a business unit of Kodak Alaris that specializes in information capture solutions, including document scanners and related software and services.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alaris Target entity description: Alaris is a business unit of Kodak Alaris that specializes in information capture solutions, including document scanners and related software and services.
-
A.
Fillion
Fillion is the surname of Canadian-American actor Nathan Fillion, best known for his leading roles in the television series "Firefly" and "Castle."
-
B.
Avisio
Avisio is a river in northern Italy that flows through the Trentino region before joining the Adige.
-
C.
Bortus
Bortus is a stoic, duty-bound Moclan officer serving as second-in-command aboard the exploratory spaceship in the sci-fi comedy series "The Orville."
-
D.
Baxter
Baxter is a small community or locality associated with the area of Essa, likely within the municipality of Essa in Ontario, Canada.
-
E.
Baxter
Baxter is a film editor known for working on the dark fantasy horror movie "Horns."
- 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_69d6ab4d6c00819095a9a7c35de83cfb |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915c498a081908389598d0c247505 |
completed | April 10, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f6a2716081909620a9d11cfcc2d8 |
completed | May 2, 2026, 1:05 p.m. |
| NEDg | Description generation | batch_69f6017f89d88190b766af7828794d87 |
completed | May 2, 2026, 1:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60232d89881909f254da6deb7f321 |
completed | May 2, 2026, 1:54 p.m. |
Created at: April 8, 2026, 9:50 p.m.