Triple
T1168571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eli Lilly and Company |
E24856
|
entity |
| Predicate | notableProduct |
P1448
|
FINISHED |
| Object |
Zepbound
Zepbound is a prescription weight-loss medication developed by Eli Lilly that uses the GLP-1/GIP agonist tirzepatide to help adults with obesity or overweight manage their weight.
|
E133648
|
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: Zepbound | Statement: [Eli Lilly and Company, notableProduct, Zepbound]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zepbound Context triple: [Eli Lilly and Company, notableProduct, Zepbound]
-
A.
Zyvex
Zyvex is a pioneering nanotechnology company known for its early work in molecular nanotechnology and advanced manufacturing.
-
B.
Zeb
Zeb is a central character in Margaret Atwood's dystopian novel "MaddAddam," known for his complex past and role in the post-apocalyptic narrative.
-
C.
The Buds
The Buds is a popular nickname for the Toronto Maple Leafs, the historic NHL franchise based in Toronto, Ontario.
-
D.
Plegridy
Plegridy is a pegylated interferon beta-1a medication used to treat relapsing forms of multiple sclerosis.
-
E.
Philortyx
Philortyx is a genus of New World quails known for their ground-dwelling habits and occurrence in scrub and grassland habitats of the Americas.
- 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: Zepbound Triple: [Eli Lilly and Company, notableProduct, Zepbound]
Generated description
Zepbound is a prescription weight-loss medication developed by Eli Lilly that uses the GLP-1/GIP agonist tirzepatide to help adults with obesity or overweight manage their weight.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zepbound Target entity description: Zepbound is a prescription weight-loss medication developed by Eli Lilly that uses the GLP-1/GIP agonist tirzepatide to help adults with obesity or overweight manage their weight.
-
A.
Zyvex
Zyvex is a pioneering nanotechnology company known for its early work in molecular nanotechnology and advanced manufacturing.
-
B.
Zeb
Zeb is a central character in Margaret Atwood's dystopian novel "MaddAddam," known for his complex past and role in the post-apocalyptic narrative.
-
C.
The Buds
The Buds is a popular nickname for the Toronto Maple Leafs, the historic NHL franchise based in Toronto, Ontario.
-
D.
Plegridy
Plegridy is a pegylated interferon beta-1a medication used to treat relapsing forms of multiple sclerosis.
-
E.
Philortyx
Philortyx is a genus of New World quails known for their ground-dwelling habits and occurrence in scrub and grassland habitats of the Americas.
- 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_69a494082a7c819095004f423f294a64 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bccef84481908864e819884af86c |
completed | March 1, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac668562788190ac5f8d081a46b2ee |
completed | March 7, 2026, 5:55 p.m. |
| NEDg | Description generation | batch_69ac67a07f28819096fcd7b767e07a63 |
completed | March 7, 2026, 6 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac6826ef4c81909fc077bfba22b16f |
completed | March 7, 2026, 6:02 p.m. |
Created at: March 1, 2026, 7:45 p.m.