Triple
T498768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Lou Jepsen |
E10352
|
entity |
| Predicate | founded |
P104
|
FINISHED |
| Object |
Openwater
Openwater is a medical imaging and neurotechnology company developing high-resolution, low-cost brain and body imaging devices using novel optics and holography techniques.
|
E62019
|
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: Openwater | Statement: [Mary Lou Jepsen, founded, Openwater]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Openwater Context triple: [Mary Lou Jepsen, founded, Openwater]
-
A.
Lightwater
Lightwater is a village and civil parish in the English county of Surrey, known for its residential character and proximity to heathland and countryside.
-
B.
Bluewater
Bluewater is a large out-of-town shopping and leisure centre located in Kent, England.
-
C.
Sirena Deep
Sirena Deep is one of the deepest known points in the world's oceans, located within the Mariana Trench in the western Pacific Ocean.
-
D.
Wild Reef
Wild Reef is a major Shedd Aquarium exhibit that recreates a vibrant coral reef ecosystem, featuring sharks, rays, and diverse tropical marine life.
-
E.
Calypso Deep
Calypso Deep is the deepest known point in the Mediterranean Sea, located in the Hellenic Trench near Greece.
- 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: Openwater Triple: [Mary Lou Jepsen, founded, Openwater]
Generated description
Openwater is a medical imaging and neurotechnology company developing high-resolution, low-cost brain and body imaging devices using novel optics and holography techniques.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Openwater Target entity description: Openwater is a medical imaging and neurotechnology company developing high-resolution, low-cost brain and body imaging devices using novel optics and holography techniques.
-
A.
Lightwater
Lightwater is a village and civil parish in the English county of Surrey, known for its residential character and proximity to heathland and countryside.
-
B.
Bluewater
Bluewater is a large out-of-town shopping and leisure centre located in Kent, England.
-
C.
Sirena Deep
Sirena Deep is one of the deepest known points in the world's oceans, located within the Mariana Trench in the western Pacific Ocean.
-
D.
Wild Reef
Wild Reef is a major Shedd Aquarium exhibit that recreates a vibrant coral reef ecosystem, featuring sharks, rays, and diverse tropical marine life.
-
E.
Calypso Deep
Calypso Deep is the deepest known point in the Mediterranean Sea, located in the Hellenic Trench near Greece.
- 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_69a2e847df8481909239ec08ccf1e376 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f119b14c8190a5a6b119579c2682 |
completed | Feb. 28, 2026, 1:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a481efc3a881909575c5981e13a16b |
completed | March 1, 2026, 6:14 p.m. |
| NEDg | Description generation | batch_69a48352d91481909fb2119752595927 |
completed | March 1, 2026, 6:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a483bb51c48190a0c2d9a3198e0ae2 |
completed | March 1, 2026, 6:21 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.