Triple
T1069142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Artemis |
E23283
|
entity |
| Predicate | epithet |
P743
|
FINISHED |
| Object |
Agrotera
Agrotera is an epithet of the Greek goddess Artemis that emphasizes her role as a huntress and protector of wild animals.
|
E124802
|
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: Agrotera | Statement: [Artemis, epithet, Agrotera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agrotera Context triple: [Artemis, epithet, Agrotera]
-
A.
The Farm
The Farm is a popular nickname for Stanford University, reflecting its origins on the former Palo Alto Stock Farm owned by the Stanford family.
-
B.
Agrihan
Agrihan is a remote volcanic island in the Northern Mariana Islands known for its large stratovolcano and rugged, sparsely populated landscape.
-
C.
Sage Grazer
Sage Grazer is the child of acclaimed American film and television producer Brian Grazer.
-
D.
Unangas
Unangas are the Indigenous people of the Aleutian Islands and nearby regions of Alaska and Russia, known for their maritime culture and distinct Aleut language.
-
E.
Sagehens
The Sagehens are the joint varsity athletic teams representing Pomona College and Pitzer College in NCAA Division III competition.
- 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: Agrotera Triple: [Artemis, epithet, Agrotera]
Generated description
Agrotera is an epithet of the Greek goddess Artemis that emphasizes her role as a huntress and protector of wild animals.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Agrotera Target entity description: Agrotera is an epithet of the Greek goddess Artemis that emphasizes her role as a huntress and protector of wild animals.
-
A.
The Farm
The Farm is a popular nickname for Stanford University, reflecting its origins on the former Palo Alto Stock Farm owned by the Stanford family.
-
B.
Agrihan
Agrihan is a remote volcanic island in the Northern Mariana Islands known for its large stratovolcano and rugged, sparsely populated landscape.
-
C.
Sage Grazer
Sage Grazer is the child of acclaimed American film and television producer Brian Grazer.
-
D.
Unangas
Unangas are the Indigenous people of the Aleutian Islands and nearby regions of Alaska and Russia, known for their maritime culture and distinct Aleut language.
-
E.
Sagehens
The Sagehens are the joint varsity athletic teams representing Pomona College and Pitzer College in NCAA Division III competition.
- 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_69a493ee1f908190992b5f0d1b04459b |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b91389888190b4b96d7ee4dda206 |
completed | March 1, 2026, 10:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac42a51c208190a9a603100ed7f5dc |
completed | March 7, 2026, 3:22 p.m. |
| NEDg | Description generation | batch_69ac431f9ebc81908bcc9b259b2e47a8 |
completed | March 7, 2026, 3:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac43a2a294819095cf58c39118389f |
completed | March 7, 2026, 3:26 p.m. |
Created at: March 1, 2026, 7:42 p.m.