Triple
T8895899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heroides |
E211803
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Sappho |
E109949
|
NE FINISHED |
How this triple was built (2 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: [Heroides, mainCharacter, Sappho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sappho Context triple: [Heroides, mainCharacter, Sappho]
-
A.
Sappho
chosen
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.
-
B.
Alcaeus
Alcaeus is a figure in Greek mythology known primarily as a son of the hero Perseus.
-
C.
Simonides of Ceos
Simonides of Ceos was an ancient Greek lyric poet renowned for his elegiac and epinician poetry, as well as for pioneering the use of memory techniques.
-
D.
Alcaeus of Mytilene
Alcaeus of Mytilene was an influential 6th-century BCE lyric poet from the island of Lesbos, renowned for his political and personal poetry composed in the Aeolic dialect.
-
E.
Anacreon
Anacreon was an ancient Greek lyric poet renowned for his songs celebrating love, wine, and revelry.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca83918d3081909b326fa3750cb8c8 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc61bfec0881908e4ef5b7f0e6b542 |
completed | April 1, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfac02974881908a7e8d9cfa47e624 |
completed | April 3, 2026, 12:01 p.m. |
Created at: March 30, 2026, 6:54 p.m.