Triple
T17046933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanyo |
E413593
|
entity |
| Predicate | collaboratedWith |
P435
|
FINISHED |
| Object |
Olympus
Olympus is a Japanese manufacturer best known for its optical and imaging products, including cameras, lenses, and medical endoscopes.
|
E1247961
|
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: Olympus | Statement: [Sanyo, collaboratedWith, Olympus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olympus Context triple: [Sanyo, collaboratedWith, Olympus]
-
A.
Olympus
Olympus is the highest and most famous mountain in Greece, revered in Greek mythology as the home of the Olympian gods.
-
B.
Oukaimeden
Oukaimeden is a popular ski resort and mountain destination in the High Atlas Mountains of Morocco, known for its winter sports and scenic alpine landscapes.
-
C.
Canazei
Canazei is a mountain village and ski resort in the Dolomites of northern Italy, known for winter sports and alpine tourism.
-
D.
Promasens
Promasens is a small Swiss municipality located in the canton of Fribourg within the Glâne District.
-
E.
Toda
Toda is a subgroup of the Seediq, an Indigenous people of Taiwan known for their distinct language and cultural traditions.
- 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: Olympus Triple: [Sanyo, collaboratedWith, Olympus]
Generated description
Olympus is a Japanese manufacturer best known for its optical and imaging products, including cameras, lenses, and medical endoscopes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Olympus Target entity description: Olympus is a Japanese manufacturer best known for its optical and imaging products, including cameras, lenses, and medical endoscopes.
-
A.
Olympus
Olympus is the highest and most famous mountain in Greece, revered in Greek mythology as the home of the Olympian gods.
-
B.
Oukaimeden
Oukaimeden is a popular ski resort and mountain destination in the High Atlas Mountains of Morocco, known for its winter sports and scenic alpine landscapes.
-
C.
Canazei
Canazei is a mountain village and ski resort in the Dolomites of northern Italy, known for winter sports and alpine tourism.
-
D.
Promasens
Promasens is a small Swiss municipality located in the canton of Fribourg within the Glâne District.
-
E.
Toda
Toda is a subgroup of the Seediq, an Indigenous people of Taiwan known for their distinct language and cultural traditions.
- 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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3da9e3d8881909f197aba0e4c97e7 |
completed | April 18, 2026, 7:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01233fb8d88190a9a6ef6a2f19a499 |
completed | May 11, 2026, 12:30 a.m. |
| NEDg | Description generation | batch_6a012533f9a8819096ab9b821c848dd2 |
completed | May 11, 2026, 12:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0125dead2481908a5c26bda5a7cd1f |
completed | May 11, 2026, 12:42 a.m. |
Created at: April 10, 2026, 5:34 a.m.