Triple

T22717804
Position Surface form Disambiguated ID Type / Status
Subject Allegra E561779 entity
Predicate wasOriginallyDevelopedBy P112878 FINISHED
Object Hoechst Marion Roussel NE NERFINISHED

How this triple was built (2 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: Hoechst Marion Roussel | Statement: [Allegra, wasOriginallyDevelopedBy, Hoechst Marion Roussel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hoechst Marion Roussel
Context triple: [Allegra, wasOriginallyDevelopedBy, Hoechst Marion Roussel]
  • A. Hoechst chosen
    Hoechst was a major German chemical and pharmaceutical company that later became part of the conglomerate IG Farben.
  • B. Boehringer Ingelheim
    Boehringer Ingelheim is a major German research-driven pharmaceutical company known for developing prescription medicines, animal health products, and biopharmaceuticals worldwide.
  • C. Bristol Myers Squibb
    Bristol Myers Squibb is a global biopharmaceutical company known for developing and manufacturing innovative medicines in areas such as oncology, immunology, and cardiovascular disease.
  • D. Schering
    Schering is a German surname most notably associated with Ernst Schering, a 19th-century pharmacist and founder of the pharmaceutical company Schering AG.
  • E. Novartis
    Novartis is a global Swiss-based pharmaceutical company known for developing innovative medicines across a wide range of therapeutic areas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2454fc984819088213b58ee87a002 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1790ecbc48190926d16b20b674dbd completed April 29, 2026, 3:20 a.m.
Created at: April 17, 2026, 3:19 p.m.