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.