Triple

T4492416
Position Surface form Disambiguated ID Type / Status
Subject Alnylam Pharmaceuticals E100609 entity
Predicate develops P73 FINISHED
Object Amvuttra
Amvuttra is an RNA interference (RNAi) therapeutic used to treat hereditary transthyretin-mediated (hATTR) amyloidosis by reducing the production of transthyretin protein.
 E446848 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: Amvuttra | Statement: [Alnylam Pharmaceuticals, develops, Amvuttra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Amvuttra
Context triple: [Alnylam Pharmaceuticals, develops, Amvuttra]
  • A. Amarar
    Amarar is the native name used by the Beja people to refer to themselves or their community.
  • B. Wonokitri
    Wonokitri is a village in East Java, Indonesia, known as a gateway settlement for visitors heading to the Mount Bromo area.
  • C. Shivta
    Shivta is an ancient Nabatean and Byzantine desert city in Israel, known for its remarkably well-preserved ruins and role along historic trade routes.
  • D. Upangas
    Upangas are a group of secondary Jain scriptures that elaborate and supplement the teachings found in the primary Agamas.
  • E. Huvishka
    Huvishka was a prominent Kushan emperor of the 2nd century CE, known for his extensive coinage and role in consolidating the empire’s power and cultural diversity across Central and South Asia.
  • 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: Amvuttra
Triple: [Alnylam Pharmaceuticals, develops, Amvuttra]
Generated description
Amvuttra is an RNA interference (RNAi) therapeutic used to treat hereditary transthyretin-mediated (hATTR) amyloidosis by reducing the production of transthyretin protein.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Amvuttra
Target entity description: Amvuttra is an RNA interference (RNAi) therapeutic used to treat hereditary transthyretin-mediated (hATTR) amyloidosis by reducing the production of transthyretin protein.
  • A. Amarar
    Amarar is the native name used by the Beja people to refer to themselves or their community.
  • B. Wonokitri
    Wonokitri is a village in East Java, Indonesia, known as a gateway settlement for visitors heading to the Mount Bromo area.
  • C. Shivta
    Shivta is an ancient Nabatean and Byzantine desert city in Israel, known for its remarkably well-preserved ruins and role along historic trade routes.
  • D. Upangas
    Upangas are a group of secondary Jain scriptures that elaborate and supplement the teachings found in the primary Agamas.
  • E. Huvishka
    Huvishka was a prominent Kushan emperor of the 2nd century CE, known for his extensive coinage and role in consolidating the empire’s power and cultural diversity across Central and South Asia.
  • 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_69bd43cdf15081909a4fa2585ff63b3e completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd556f99b48190ae60506a35b43c29 completed March 20, 2026, 2:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd67b40fd4819098636b6f29304312 completed March 20, 2026, 3:28 p.m.
NEDg Description generation batch_69bd688e84fc8190a8900be40e3cf694 completed March 20, 2026, 3:32 p.m.
NED2 Entity disambiguation (via description) batch_69bd69bcf10c8190bd6ceb6bc604b3f5 completed March 20, 2026, 3:37 p.m.
Created at: March 20, 2026, 12:59 p.m.