Triple

T6005041
Position Surface form Disambiguated ID Type / Status
Subject Riluzole E133687 entity
Predicate hasBrandName P40804 FINISHED
Object Teglutik
Teglutik is an oral liquid formulation of the drug riluzole used to slow disease progression in patients with amyotrophic lateral sclerosis (ALS).
 E561110 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: Teglutik | Statement: [Riluzole, hasBrandName, Teglutik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Teglutik
Context triple: [Riluzole, hasBrandName, Teglutik]
  • A. Tektitek
    Tektitek is a Mayan language spoken primarily by the Tektiteko people in parts of Guatemala and Mexico.
  • B. Trikka
    Trikka (also known as Trikala) is an ancient city in Thessaly, Greece, traditionally regarded as the birthplace and principal cult center of the healing god Asclepius.
  • C. Tuktukan
    Tuktukan is a barangay (village-level administrative division) in the city of Taguig in Metro Manila, Philippines.
  • D. Tegsedi
    Tegsedi is an antisense oligonucleotide drug used to treat hereditary transthyretin-mediated amyloidosis by reducing the production of the transthyretin protein.
  • E. Tikkana
    Tikkana was a prominent 13th-century Telugu poet and scholar best known for translating a major portion of the Mahabharata into Telugu and helping shape classical Telugu literature.
  • 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: Teglutik
Triple: [Riluzole, hasBrandName, Teglutik]
Generated description
Teglutik is an oral liquid formulation of the drug riluzole used to slow disease progression in patients with amyotrophic lateral sclerosis (ALS).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Teglutik
Target entity description: Teglutik is an oral liquid formulation of the drug riluzole used to slow disease progression in patients with amyotrophic lateral sclerosis (ALS).
  • A. Tektitek
    Tektitek is a Mayan language spoken primarily by the Tektiteko people in parts of Guatemala and Mexico.
  • B. Trikka
    Trikka (also known as Trikala) is an ancient city in Thessaly, Greece, traditionally regarded as the birthplace and principal cult center of the healing god Asclepius.
  • C. Tuktukan
    Tuktukan is a barangay (village-level administrative division) in the city of Taguig in Metro Manila, Philippines.
  • D. Tegsedi
    Tegsedi is an antisense oligonucleotide drug used to treat hereditary transthyretin-mediated amyloidosis by reducing the production of the transthyretin protein.
  • E. Tikkana
    Tikkana was a prominent 13th-century Telugu poet and scholar best known for translating a major portion of the Mahabharata into Telugu and helping shape classical Telugu literature.
  • 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_69c00872444c8190bfaf1739dcec765c completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04f10d18081908c351170b7f58d3d completed March 22, 2026, 8:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1088f5c84819094e4696c24c4dd79 completed March 23, 2026, 9:31 a.m.
NEDg Description generation batch_69c1099f00f88190a5f1f0fafbb679c2 completed March 23, 2026, 9:36 a.m.
NED2 Entity disambiguation (via description) batch_69c10a2ffdcc8190bfeebc59d98b2b29 completed March 23, 2026, 9:38 a.m.
Created at: March 22, 2026, 4:06 p.m.