Triple
T8420783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sappho and Erinna in a Garden at Mytilene |
E198843
|
entity |
| Predicate | depicts |
P1581
|
FINISHED |
| Object |
Erinna
Erinna was an ancient Greek poet, traditionally associated with Sappho’s literary circle and known for her fragmentary epic-style poetry.
|
E732303
|
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: Erinna | Statement: [Sappho and Erinna in a Garden at Mytilene, depicts, Erinna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erinna Context triple: [Sappho and Erinna in a Garden at Mytilene, depicts, Erinna]
-
A.
Pamona
Pamona is an Austronesian language spoken by the Pamona people of Central Sulawesi, Indonesia.
-
B.
Corinna
Corinna was an ancient Greek lyric poet from Boeotia, renowned for her choral poetry composed in the Aeolic dialect.
-
C.
Anahita
Anahita is an ancient Iranian goddess associated with water, fertility, and protection, widely venerated in the Achaemenid and later Persian empires.
-
D.
Ilione
Ilione is a figure in Greek mythology, traditionally known as a daughter of King Priam and Queen Hecuba of Troy.
-
E.
Leontia
Leontia was a Byzantine imperial princess, the daughter of Emperor Leo I, known for her role in dynastic marriage alliances of the Eastern Roman Empire.
- 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: Erinna Triple: [Sappho and Erinna in a Garden at Mytilene, depicts, Erinna]
Generated description
Erinna was an ancient Greek poet, traditionally associated with Sappho’s literary circle and known for her fragmentary epic-style poetry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Erinna Target entity description: Erinna was an ancient Greek poet, traditionally associated with Sappho’s literary circle and known for her fragmentary epic-style poetry.
-
A.
Pamona
Pamona is an Austronesian language spoken by the Pamona people of Central Sulawesi, Indonesia.
-
B.
Corinna
Corinna was an ancient Greek lyric poet from Boeotia, renowned for her choral poetry composed in the Aeolic dialect.
-
C.
Anahita
Anahita is an ancient Iranian goddess associated with water, fertility, and protection, widely venerated in the Achaemenid and later Persian empires.
-
D.
Ilione
Ilione is a figure in Greek mythology, traditionally known as a daughter of King Priam and Queen Hecuba of Troy.
-
E.
Leontia
Leontia was a Byzantine imperial princess, the daughter of Emperor Leo I, known for her role in dynastic marriage alliances of the Eastern Roman Empire.
- 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_69ca8312d63c8190bf133b676b44a385 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb84ca7b348190abab25e79b05407f |
completed | March 31, 2026, 8:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce035279f48190861b97167fa3882c |
completed | April 2, 2026, 5:49 a.m. |
| NEDg | Description generation | batch_69ce0782b0dc8190bf971eacb3b4582c |
completed | April 2, 2026, 6:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce0854ce788190a209f229d504c038 |
completed | April 2, 2026, 6:10 a.m. |
Created at: March 30, 2026, 6:06 p.m.