Triple
T20559394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agfa film production |
E504805
|
entity |
| Predicate | notableProduct |
P1448
|
FINISHED |
| Object | Agfa Vista |
—
|
NE NERFINISHED |
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: Agfa Vista | Statement: [Agfa film production, notableProduct, Agfa Vista]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agfa Vista Context triple: [Agfa film production, notableProduct, Agfa Vista]
-
A.
Agfa
chosen
Agfa is a historic German company best known for its photographic films, cameras, and imaging technologies.
-
B.
Claris
Claris is a small rural settlement and main service hub on Great Barrier Island in New Zealand, featuring the island’s primary airfield and basic visitor amenities.
-
C.
Claris
Claris is a software company best known for developing productivity and database applications, including the FileMaker platform and related tools.
-
D.
Lotus Word Pro
Lotus Word Pro is a word processing application developed by Lotus as part of the Lotus SmartSuite office productivity package.
-
E.
Inktomi
Inktomi was an early internet software and search engine company known for providing search technology to major web portals in the late 1990s and early 2000s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4b6587c8190aee63dc7cff244ea |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a5e178648190910795bae5422e50 |
completed | April 20, 2026, 10:17 p.m. |
Created at: April 16, 2026, 11:38 a.m.