Triple
T22871173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | pimozide |
E567198
|
entity |
| Predicate | hasBrandName |
P40804
|
FINISHED |
| Object |
Orap
Orap is a brand-name antipsychotic medication containing pimozide, primarily used to treat Tourette’s disorder and severe tics.
|
E1558306
|
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: Orap | Statement: [pimozide, hasBrandName, Orap]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orap Context triple: [pimozide, hasBrandName, Orap]
-
A.
Orac
Orac is a highly advanced, often irritable supercomputer from the British science fiction television series "Blake's 7," known for its vast knowledge and pivotal role in aiding the protagonists.
-
B.
Orko
Orko is a bumbling but well-meaning Trollan magician who serves as comic relief and a loyal ally to He-Man in the Masters of the Universe franchise.
-
C.
Agop
Agop is the given name of Agop Terzan, a French-Armenian astronomer renowned for discovering numerous variable stars and dense star clusters.
-
D.
Oru
Oru is a town in Ijebu North Local Government Area of Ogun State in southwestern Nigeria.
-
E.
Oru
Oru is a village located within Kose Parish in northern Estonia.
- 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: Orap Triple: [pimozide, hasBrandName, Orap]
Generated description
Orap is a brand-name antipsychotic medication containing pimozide, primarily used to treat Tourette’s disorder and severe tics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Orap Target entity description: Orap is a brand-name antipsychotic medication containing pimozide, primarily used to treat Tourette’s disorder and severe tics.
-
A.
Orac
Orac is a highly advanced, often irritable supercomputer from the British science fiction television series "Blake's 7," known for its vast knowledge and pivotal role in aiding the protagonists.
-
B.
Orko
Orko is a bumbling but well-meaning Trollan magician who serves as comic relief and a loyal ally to He-Man in the Masters of the Universe franchise.
-
C.
Agop
Agop is the given name of Agop Terzan, a French-Armenian astronomer renowned for discovering numerous variable stars and dense star clusters.
-
D.
Oru
Oru is a town in Ijebu North Local Government Area of Ogun State in southwestern Nigeria.
-
E.
Oru
Oru is a village located within Kose Parish in northern Estonia.
- 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_69e24589d8348190b96422d13a678bc1 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17f04b06481909004818ec8fc5a26 |
completed | April 29, 2026, 3:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bae951ee481908df74b483a845ac7 |
completed | May 19, 2026, 12:28 a.m. |
| NEDg | Description generation | batch_6a0baf655a748190a941e63e1d862508 |
completed | May 19, 2026, 12:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bafed7b6c8190bd294a009dd9594d |
completed | May 19, 2026, 12:33 a.m. |
Created at: April 17, 2026, 3:38 p.m.