Triple
T2715207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roush Fenway Racing |
E59950
|
entity |
| Predicate | majorSponsorHistory |
P35612
|
FINISHED |
| Object |
Viagra
Viagra is a well-known prescription medication used to treat erectile dysfunction by increasing blood flow to the penis.
|
E291801
|
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: Viagra | Statement: [Roush Fenway Racing, majorSponsorHistory, Viagra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Viagra Context triple: [Roush Fenway Racing, majorSponsorHistory, Viagra]
-
A.
Pille
Pille is the talking football character that served as the sidekick to Goleo VI, the official mascot of the 2006 FIFA World Cup in Germany.
-
B.
Motrin
Motrin is a widely used over-the-counter ibuprofen pain reliever and fever reducer medication.
-
C.
Lamotrek
Lamotrek is a small atoll in the Federated States of Micronesia known for its traditional seafaring culture and navigational expertise.
-
D.
Versonnex
Versonnex is a small commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
-
E.
Prozac
Prozac is a widely prescribed antidepressant medication (fluoxetine) used to treat major depressive disorder, anxiety disorders, and certain other mental health conditions.
- 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: Viagra Triple: [Roush Fenway Racing, majorSponsorHistory, Viagra]
Generated description
Viagra is a well-known prescription medication used to treat erectile dysfunction by increasing blood flow to the penis.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Viagra Target entity description: Viagra is a well-known prescription medication used to treat erectile dysfunction by increasing blood flow to the penis.
-
A.
Pille
Pille is the talking football character that served as the sidekick to Goleo VI, the official mascot of the 2006 FIFA World Cup in Germany.
-
B.
Motrin
Motrin is a widely used over-the-counter ibuprofen pain reliever and fever reducer medication.
-
C.
Lamotrek
Lamotrek is a small atoll in the Federated States of Micronesia known for its traditional seafaring culture and navigational expertise.
-
D.
Versonnex
Versonnex is a small commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
-
E.
Prozac
Prozac is a widely prescribed antidepressant medication (fluoxetine) used to treat major depressive disorder, anxiety disorders, and certain other mental health conditions.
- 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_69ab4ac92a088190bc74bca14038e3de |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abdd1fc30c81909ac06588d50abdf8 |
completed | March 7, 2026, 8:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afb68a3cb881909fd29018154ae4d3 |
completed | March 10, 2026, 6:13 a.m. |
| NEDg | Description generation | batch_69afb703a5f8819097b71e19db11feaf |
completed | March 10, 2026, 6:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afb7aa131c81908cdfbda9575312f3 |
completed | March 10, 2026, 6:18 a.m. |
Created at: March 6, 2026, 9:55 p.m.