Triple
T20559392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agfa film production |
E504805
|
entity |
| Predicate | notableProduct |
P1448
|
FINISHED |
| Object |
Agfa Isopan
Agfa Isopan was a popular mid-20th-century black-and-white photographic film produced by Agfa, known for its fine grain and versatility among amateur and professional photographers.
|
E1437671
|
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: Agfa Isopan | Statement: [Agfa film production, notableProduct, Agfa Isopan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agfa Isopan Context triple: [Agfa film production, notableProduct, Agfa Isopan]
-
A.
Eiso
Eiso was a Japanese era name (nengō) used during the reign of Emperor Ichijō in the Heian period.
-
B.
Pectacon
Pectacon was the spice and pectin trading company in Amsterdam co-founded and managed by Otto Frank before and during the early years of World War II.
-
C.
Dalmine
Dalmine is an industrial town in northern Italy known for its steel production and manufacturing activities.
-
D.
Eastman
Eastman is a surname of English origin borne by various notable individuals across fields such as politics, arts, and social reform.
-
E.
Eastman
Eastman is a given name most notably associated with the 19th-century American painter Eastman Johnson, a co-founder of the Metropolitan Museum of Art.
- 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: Agfa Isopan Triple: [Agfa film production, notableProduct, Agfa Isopan]
Generated description
Agfa Isopan was a popular mid-20th-century black-and-white photographic film produced by Agfa, known for its fine grain and versatility among amateur and professional photographers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Agfa Isopan Target entity description: Agfa Isopan was a popular mid-20th-century black-and-white photographic film produced by Agfa, known for its fine grain and versatility among amateur and professional photographers.
-
A.
Eiso
Eiso was a Japanese era name (nengō) used during the reign of Emperor Ichijō in the Heian period.
-
B.
Pectacon
Pectacon was the spice and pectin trading company in Amsterdam co-founded and managed by Otto Frank before and during the early years of World War II.
-
C.
Dalmine
Dalmine is an industrial town in northern Italy known for its steel production and manufacturing activities.
-
D.
Eastman
Eastman is a surname of English origin borne by various notable individuals across fields such as politics, arts, and social reform.
-
E.
Eastman
Eastman is a given name most notably associated with the 19th-century American painter Eastman Johnson, a co-founder of the Metropolitan Museum of Art.
- 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_69e0b4b6587c8190aee63dc7cff244ea |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a5e178648190910795bae5422e50 |
completed | April 20, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08a5796df48190b96841c94a6311c0 |
completed | May 16, 2026, 5:12 p.m. |
| NEDg | Description generation | batch_6a08a68c08dc8190a09854800df82686 |
completed | May 16, 2026, 5:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08a7331cc88190a9ed6056e5743e69 |
completed | May 16, 2026, 5:19 p.m. |
Created at: April 16, 2026, 11:38 a.m.