Triple
T9428161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biophilia |
E227305
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Virus (app)
Virus is a mobile app game in the Biophilia suite that lets users explore musical and biological concepts through interactive, evolving sound patterns inspired by cellular behavior.
|
E800048
|
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: Virus (app) | Statement: [Biophilia, hasPart, Virus (app)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Virus (app) Context triple: [Biophilia, hasPart, Virus (app)]
-
A.
The Virus
"The Virus" is a 1982 political thriller novel by British author Stanley Johnson that imagines a deadly global pandemic and the governmental response to it.
-
B.
The Vine
The Vine is a public transit service brand used by C-TRAN for its bus and related transportation services in the Vancouver, Washington area.
-
C.
VIR
VIR is the ICAO airline designator used to identify Virgin Atlantic in international aviation operations.
-
D.
Melissa virus
The Melissa virus was a notorious mass-mailing macro virus from 1999 that spread via infected Microsoft Word documents and caused widespread disruption to email systems worldwide.
-
E.
VIAL
VIAL is the ICAO airport code assigned to Prayagraj Airport in Uttar Pradesh, India.
- 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: Virus (app) Triple: [Biophilia, hasPart, Virus (app)]
Generated description
Virus is a mobile app game in the Biophilia suite that lets users explore musical and biological concepts through interactive, evolving sound patterns inspired by cellular behavior.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Virus (app) Target entity description: Virus is a mobile app game in the Biophilia suite that lets users explore musical and biological concepts through interactive, evolving sound patterns inspired by cellular behavior.
-
A.
The Virus
"The Virus" is a 1982 political thriller novel by British author Stanley Johnson that imagines a deadly global pandemic and the governmental response to it.
-
B.
The Vine
The Vine is a public transit service brand used by C-TRAN for its bus and related transportation services in the Vancouver, Washington area.
-
C.
VIR
VIR is the ICAO airline designator used to identify Virgin Atlantic in international aviation operations.
-
D.
Melissa virus
The Melissa virus was a notorious mass-mailing macro virus from 1999 that spread via infected Microsoft Word documents and caused widespread disruption to email systems worldwide.
-
E.
VIAL
VIAL is the ICAO airport code assigned to Prayagraj Airport in Uttar Pradesh, India.
- 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_69ca8436ba308190903e470776d2d893 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7c92ee848190baa41fe91a131305 |
completed | April 1, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d11034369c81908992e268e66d7833 |
completed | April 4, 2026, 1:20 p.m. |
| NEDg | Description generation | batch_69d1149f6f6c81908ea2fce6f29ccb64 |
completed | April 4, 2026, 1:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d115168d748190909687d39fb79e24 |
completed | April 4, 2026, 1:41 p.m. |
Created at: March 30, 2026, 7:49 p.m.