Triple
T5305985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bausch + Lomb |
E120103
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object |
Lumify
Lumify is an over-the-counter eye drop brand from Bausch + Lomb known for reducing eye redness and brightening the appearance of the eyes.
|
E510928
|
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: Lumify | Statement: [Bausch + Lomb, brand, Lumify]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lumify Context triple: [Bausch + Lomb, brand, Lumify]
-
A.
Alinity diagnostic systems
Alinity diagnostic systems are Abbott Laboratories’ integrated platform of advanced clinical analyzers designed to streamline and automate a wide range of laboratory testing.
-
B.
Orthanc
Orthanc is the black, indestructible tower of Isengard in J.R.R. Tolkien’s Middle-earth, serving as Saruman’s stronghold and seat of power.
-
C.
Orthanc
Orthanc is an open-source, lightweight DICOM server and ecosystem designed for medical imaging storage, retrieval, and integration in healthcare and research environments.
-
D.
Proscan
Proscan is a consumer electronics brand known for producing affordable televisions and related audio-visual equipment.
-
E.
Flatiron Health
Flatiron Health is a healthcare technology company that specializes in using real-world oncology data and software to improve cancer care and research.
- 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: Lumify Triple: [Bausch + Lomb, brand, Lumify]
Generated description
Lumify is an over-the-counter eye drop brand from Bausch + Lomb known for reducing eye redness and brightening the appearance of the eyes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lumify Target entity description: Lumify is an over-the-counter eye drop brand from Bausch + Lomb known for reducing eye redness and brightening the appearance of the eyes.
-
A.
Alinity diagnostic systems
Alinity diagnostic systems are Abbott Laboratories’ integrated platform of advanced clinical analyzers designed to streamline and automate a wide range of laboratory testing.
-
B.
Orthanc
Orthanc is the black, indestructible tower of Isengard in J.R.R. Tolkien’s Middle-earth, serving as Saruman’s stronghold and seat of power.
-
C.
Orthanc
Orthanc is an open-source, lightweight DICOM server and ecosystem designed for medical imaging storage, retrieval, and integration in healthcare and research environments.
-
D.
Proscan
Proscan is a consumer electronics brand known for producing affordable televisions and related audio-visual equipment.
-
E.
Flatiron Health
Flatiron Health is a healthcare technology company that specializes in using real-world oncology data and software to improve cancer care and research.
- 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_69bd44704be88190acdb2ac481b0ff55 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd851dd0d081909c0bf1423278ad8a |
completed | March 20, 2026, 5:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf10f77b048190b8d3b39b900008d8 |
completed | March 21, 2026, 9:43 p.m. |
| NEDg | Description generation | batch_69bf1186f1988190893e8d1af8623f6d |
completed | March 21, 2026, 9:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf1226ddd08190a39799fd0db58694 |
completed | March 21, 2026, 9:48 p.m. |
Created at: March 20, 2026, 1:53 p.m.