Triple

T22690529
Position Surface form Disambiguated ID Type / Status
Subject LOXO-292 E561037 entity
Predicate hasMolecularTarget P37016 FINISHED
Object RET
RET is a receptor tyrosine kinase proto-oncogene whose activating alterations drive various cancers, making it an important therapeutic target in oncology.
E1549331 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: RET | Statement: [LOXO-292, hasMolecularTarget, RET]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RET
Context triple: [LOXO-292, hasMolecularTarget, RET]
  • A. RET
    RET is a public transport company operating buses, trams, and metro services in and around Rotterdam in the Netherlands.
  • B. reth
    Reth is the hereditary royal title used for the kings of the Shilluk people of South Sudan, who serve as central political and spiritual leaders in their society.
  • C. RE
    RE is the vehicle registration code used for the city of Recklinghausen in Germany.
  • D. RE
    RE is the commonly used abbreviation for Rugby Europe, the governing body for rugby union in Europe.
  • E. RE
    RE is the common abbreviation for the British Army’s Corps of Royal Engineers, responsible for military engineering and technical support.
  • 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: RET
Triple: [LOXO-292, hasMolecularTarget, RET]
Generated description
RET is a receptor tyrosine kinase proto-oncogene whose activating alterations drive various cancers, making it an important therapeutic target in oncology.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: RET
Target entity description: RET is a receptor tyrosine kinase proto-oncogene whose activating alterations drive various cancers, making it an important therapeutic target in oncology.
  • A. RET
    RET is a public transport company operating buses, trams, and metro services in and around Rotterdam in the Netherlands.
  • B. reth
    Reth is the hereditary royal title used for the kings of the Shilluk people of South Sudan, who serve as central political and spiritual leaders in their society.
  • C. RE
    RE is the common abbreviation for the British Army’s Corps of Royal Engineers, responsible for military engineering and technical support.
  • D. RE
    RE is a centrist, pro-European French political party founded by Emmanuel Macron and formerly known as La République En Marche!.
  • E. RE
    RE is the vehicle registration code used for the city of Recklinghausen in Germany.
  • 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_69e2454d71b48190a1f80af9f82b6fcf completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1789a1fd08190bce5fa0babe695d3 completed April 29, 2026, 3:18 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b73fa5a648190b90ba303d1fe2397 completed May 18, 2026, 8:18 p.m.
NEDg Description generation batch_6a0b7755eb048190ba1657a9a09bc24b completed May 18, 2026, 8:32 p.m.
NED2 Entity disambiguation (via description) batch_6a0b780c0a4c8190b51b50c1e0e1a114 completed May 18, 2026, 8:35 p.m.
Created at: April 17, 2026, 3:13 p.m.