Triple

T5248765
Position Surface form Disambiguated ID Type / Status
Subject AstraZeneca E118527 entity
Predicate notableProduct P1448 FINISHED
Object Symbicort
Symbicort is a prescription inhaler medication that combines a corticosteroid and a long-acting bronchodilator to manage asthma and chronic obstructive pulmonary disease (COPD).
 E505484 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: Symbicort | Statement: [AstraZeneca, notableProduct, Symbicort]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Symbicort
Context triple: [AstraZeneca, notableProduct, Symbicort]
  • A. Denesuline
    Denesuline are a First Nations people of the larger Dene cultural and linguistic group, traditionally inhabiting subarctic regions of northern Canada.
  • B. Singulair
    Singulair is a prescription leukotriene receptor antagonist (montelukast) commonly used to prevent and manage asthma and allergy symptoms.
  • C. Xolair
    Xolair is a monoclonal antibody medication used to treat moderate to severe allergic asthma and chronic spontaneous urticaria by targeting immunoglobulin E (IgE).
  • D. Anpezan
    Anpezan is a regional dialect of the Ladin language spoken in parts of the Dolomite area of northern Italy.
  • E. Novafora
    Novafora was a semiconductor company known for acquiring Transmeta to expand its presence in low-power microprocessor and video processing technologies.
  • 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: Symbicort
Triple: [AstraZeneca, notableProduct, Symbicort]
Generated description
Symbicort is a prescription inhaler medication that combines a corticosteroid and a long-acting bronchodilator to manage asthma and chronic obstructive pulmonary disease (COPD).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Symbicort
Target entity description: Symbicort is a prescription inhaler medication that combines a corticosteroid and a long-acting bronchodilator to manage asthma and chronic obstructive pulmonary disease (COPD).
  • A. Denesuline
    Denesuline are a First Nations people of the larger Dene cultural and linguistic group, traditionally inhabiting subarctic regions of northern Canada.
  • B. Singulair
    Singulair is a prescription leukotriene receptor antagonist (montelukast) commonly used to prevent and manage asthma and allergy symptoms.
  • C. Xolair
    Xolair is a monoclonal antibody medication used to treat moderate to severe allergic asthma and chronic spontaneous urticaria by targeting immunoglobulin E (IgE).
  • D. Anpezan
    Anpezan is a regional dialect of the Ladin language spoken in parts of the Dolomite area of northern Italy.
  • E. Novafora
    Novafora was a semiconductor company known for acquiring Transmeta to expand its presence in low-power microprocessor and video processing technologies.
  • 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_69bd4468aacc8190a8196f71855cdf4f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b787b34819081af96de9355bb4f completed March 20, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef83998f881909fef2746f5c496af completed March 21, 2026, 7:57 p.m.
NEDg Description generation batch_69befa746be88190a8d807317ab36430 completed March 21, 2026, 8:07 p.m.
NED2 Entity disambiguation (via description) batch_69befac54e8c8190986aca0f5591d04e completed March 21, 2026, 8:08 p.m.
Created at: March 20, 2026, 1:50 p.m.