Triple

T6006203
Position Surface form Disambiguated ID Type / Status
Subject Sanofi E133715 entity
Predicate hasBrand P1500 FINISHED
Object Aubagio
Aubagio is a prescription oral medication (teriflunomide) used to treat relapsing forms of multiple sclerosis in adults.
E561778 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: Aubagio | Statement: [Sanofi, hasBrand, Aubagio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aubagio
Context triple: [Sanofi, hasBrand, Aubagio]
  • A. Olesko
    Olesko is a historic town in western Ukraine best known for its medieval castle, which served as the birthplace of Polish King John III Sobieski.
  • B. Tartegnin
    Tartegnin is a small wine-producing municipality in the canton of Vaud in western Switzerland, situated above Lake Geneva in the La Côte region.
  • C. Arbogne
    Arbogne is a small river in western Switzerland that serves as a tributary of the Broye.
  • D. Novaro
    Novaro is an Italian surname most notably borne by Michele Novaro, the composer of Italy’s national anthem.
  • E. Asolo
    Asolo is a picturesque historic town in Italy’s Veneto region, renowned for its medieval architecture, hillside setting, and association with artists and writers.
  • 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: Aubagio
Triple: [Sanofi, hasBrand, Aubagio]
Generated description
Aubagio is a prescription oral medication (teriflunomide) used to treat relapsing forms of multiple sclerosis in adults.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Aubagio
Target entity description: Aubagio is a prescription oral medication (teriflunomide) used to treat relapsing forms of multiple sclerosis in adults.
  • A. Olesko
    Olesko is a historic town in western Ukraine best known for its medieval castle, which served as the birthplace of Polish King John III Sobieski.
  • B. Tartegnin
    Tartegnin is a small wine-producing municipality in the canton of Vaud in western Switzerland, situated above Lake Geneva in the La Côte region.
  • C. Arbogne
    Arbogne is a small river in western Switzerland that serves as a tributary of the Broye.
  • D. Novaro
    Novaro is an Italian surname most notably borne by Michele Novaro, the composer of Italy’s national anthem.
  • E. Asolo
    Asolo is a picturesque historic town in Italy’s Veneto region, renowned for its medieval architecture, hillside setting, and association with artists and writers.
  • 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_69c00872444c8190bfaf1739dcec765c completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04f128354819088971ee398cbda77 completed March 22, 2026, 8:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c10895559081908b9efdd32ecef37f completed March 23, 2026, 9:32 a.m.
NEDg Description generation batch_69c10b7467e88190955014bc060b20e4 completed March 23, 2026, 9:44 a.m.
NED2 Entity disambiguation (via description) batch_69c10c0a001c81908e3ca53e9491ff9a completed March 23, 2026, 9:46 a.m.
Created at: March 22, 2026, 4:06 p.m.