Triple

T4850384
Position Surface form Disambiguated ID Type / Status
Subject Pfizer E108398 entity
Predicate developed P73 FINISHED
Object Eliquis E241386 NE FINISHED

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: Eliquis | Statement: [Pfizer, developed, Eliquis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eliquis
Context triple: [Pfizer, developed, Eliquis]
  • A. Xarelto
    Xarelto is a widely used prescription anticoagulant (blood thinner) that helps prevent and treat blood clots and reduce the risk of stroke in certain patients.
  • B. apixaban chosen
    Apixaban is an oral anticoagulant (factor Xa inhibitor) used to prevent and treat blood clots and reduce the risk of stroke in patients with conditions such as atrial fibrillation.
  • C. dabigatran
    Dabigatran is an oral direct thrombin inhibitor anticoagulant used to prevent and treat blood clots and reduce the risk of stroke in patients with conditions like atrial fibrillation.
  • D. warfarin
    Warfarin is a long-established oral anticoagulant used to prevent and treat blood clots, requiring regular blood monitoring and dose adjustments due to its narrow therapeutic range and numerous drug and food interactions.
  • E. Darzalex
    Darzalex is a monoclonal antibody drug (daratumumab) used primarily in the treatment of multiple myeloma.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd440a89548190a5f14ba6da6b97dc completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d1e5cf08190bd6b6a524748f170 completed March 20, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5cdefda8819095fbc04446bf32f5 completed March 21, 2026, 8:54 a.m.
Created at: March 20, 2026, 1:25 p.m.