Triple

T22421717
Position Surface form Disambiguated ID Type / Status
Subject Mitsubishi Tanabe Pharma E554263 entity
Predicate notableProduct P1448 FINISHED
Object edaravone 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: edaravone | Statement: [Mitsubishi Tanabe Pharma, notableProduct, edaravone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: edaravone
Context triple: [Mitsubishi Tanabe Pharma, notableProduct, edaravone]
  • A. edaravone chosen
    Edaravone is a neuroprotective drug used to slow functional decline in patients with amyotrophic lateral sclerosis (ALS).
  • B. Daddario
    Daddario is an Italian-origin surname most prominently associated with American actress Alexandra Daddario.
  • C. Ardud
    Ardud is a small town in northwestern Romania, known for its historic medieval fortress and location within Satu Mare County.
  • D. Avdellero
    Avdellero is a small village located in the Larnaca District of Cyprus, known for its rural character and traditional Cypriot atmosphere.
  • E. Evarete
    Evarete is a figure in Greek mythology known primarily as the wife of King Oenomaus of Pisa and mother of his children.
  • 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_69e11e4f2d0c819091aa3558ea2ee630 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1594b08d88190bb61a30397d0ffa5 completed April 29, 2026, 1:05 a.m.
Created at: April 16, 2026, 8:46 p.m.