Triple
T904777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lesbos |
E19521
|
entity |
| Predicate | hasNotablePerson |
P304
|
FINISHED |
| Object |
Sappho
Sappho was an ancient Greek lyric poet from the island of Lesbos, renowned for her emotionally intense, personal poetry, much of which survives only in fragments.
|
E109949
|
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: Sappho | Statement: [Lesbos, hasNotablePerson, Sappho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sappho Context triple: [Lesbos, hasNotablePerson, Sappho]
-
A.
Anacreon
Anacreon was an ancient Greek lyric poet renowned for his songs celebrating love, wine, and revelry.
-
B.
Pindar
Pindar was an ancient Greek lyric poet renowned for his victory odes celebrating athletic triumphs in the Panhellenic games.
-
C.
Erato
Erato is the Greek Muse traditionally associated with lyric and especially love poetry.
-
D.
Hesiod
Hesiod was an early ancient Greek poet, often considered a founder of Greek didactic poetry, known for works such as the Theogony and Works and Days that shaped Greek mythology and moral thought.
-
E.
Diotima of Mantinea
Diotima of Mantinea is a possibly fictional female philosopher and priestess in Plato’s Symposium who teaches Socrates about the nature of love and the ascent to the Form of Beauty.
- 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: Sappho Triple: [Lesbos, hasNotablePerson, Sappho]
Generated description
Sappho was an ancient Greek lyric poet from the island of Lesbos, renowned for her emotionally intense, personal poetry, much of which survives only in fragments.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sappho Target entity description: Sappho was an ancient Greek lyric poet from the island of Lesbos, renowned for her emotionally intense, personal poetry, much of which survives only in fragments.
-
A.
Anacreon
Anacreon was an ancient Greek lyric poet renowned for his songs celebrating love, wine, and revelry.
-
B.
Pindar
Pindar was an ancient Greek lyric poet renowned for his victory odes celebrating athletic triumphs in the Panhellenic games.
-
C.
Erato
Erato is the Greek Muse traditionally associated with lyric and especially love poetry.
-
D.
Hesiod
Hesiod was an early ancient Greek poet, often considered a founder of Greek didactic poetry, known for works such as the Theogony and Works and Days that shaped Greek mythology and moral thought.
-
E.
Diotima of Mantinea
Diotima of Mantinea is a possibly fictional female philosopher and priestess in Plato’s Symposium who teaches Socrates about the nature of love and the ascent to the Form of Beauty.
- 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_69a4939e889c8190ac148b3ac1a7f90b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b2b9339081909af5ab231be39bb0 |
completed | March 1, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7ee054c808190888594a6421c4b60 |
completed | March 4, 2026, 8:32 a.m. |
| NEDg | Description generation | batch_69a7ef1b38188190a580c0545e554958 |
completed | March 4, 2026, 8:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7ef79c1448190a227829e673cdff0 |
completed | March 4, 2026, 8:38 a.m. |
Created at: March 1, 2026, 7:39 p.m.