Triple
T6005042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riluzole |
E133687
|
entity |
| Predicate | hasBrandName |
P40804
|
FINISHED |
| Object |
Tiglutik
Tiglutik is an oral suspension formulation of the ALS medication riluzole, designed to help slow disease progression in patients with amyotrophic lateral sclerosis.
|
E561111
|
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: Tiglutik | Statement: [Riluzole, hasBrandName, Tiglutik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tiglutik Context triple: [Riluzole, hasBrandName, Tiglutik]
-
A.
Tigak
Tigak is an Austronesian language of the Meso-Melanesian subgroup spoken primarily in parts of Papua New Guinea.
-
B.
Tappara
Tappara is a prominent professional ice hockey club from Tampere, Finland, known as one of the most successful and historic teams in the Finnish Liiga.
-
C.
The Turim
The Turim is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organizes halakhic rulings into four major sections.
-
D.
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.
-
E.
Tidan
Tidan is a river in southwestern Sweden that flows through the historical province of Västergötland.
- 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: Tiglutik Triple: [Riluzole, hasBrandName, Tiglutik]
Generated description
Tiglutik is an oral suspension formulation of the ALS medication riluzole, designed to help slow disease progression in patients with amyotrophic lateral sclerosis.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tiglutik Target entity description: Tiglutik is an oral suspension formulation of the ALS medication riluzole, designed to help slow disease progression in patients with amyotrophic lateral sclerosis.
-
A.
Tigak
Tigak is an Austronesian language of the Meso-Melanesian subgroup spoken primarily in parts of Papua New Guinea.
-
B.
Tappara
Tappara is a prominent professional ice hockey club from Tampere, Finland, known as one of the most successful and historic teams in the Finnish Liiga.
-
C.
The Turim
The Turim is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organizes halakhic rulings into four major sections.
-
D.
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.
-
E.
Tidan
Tidan is a river in southwestern Sweden that flows through the historical province of Västergötland.
- 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.