Triple
T8522907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corinna |
E201735
|
entity |
| Predicate | nameInGreek |
P3659
|
FINISHED |
| Object |
Κόριννα
Κόριννα is the ancient Greek lyric poet Corinna, traditionally associated with Boeotia and known for her mythological and local-themed poetry.
|
E741611
|
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: Κόριννα | Statement: [Corinna, nameInGreek, Κόριννα]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Κόριννα Context triple: [Corinna, nameInGreek, Κόριννα]
-
A.
Coronea
Coronea was an ancient city of Boeotia in central Greece, known for its strategic location and role in several classical Greek battles.
-
B.
Θήβα
Η Θήβα είναι ιστορική πόλη της Βοιωτίας στην κεντρική Ελλάδα, γνωστή από την αρχαία ελληνική μυθολογία και την κλασική ιστορία.
-
C.
Sikyon
Sikyon was an ancient Greek city-state in the northern Peloponnese, known for its artistic and cultural achievements, especially in sculpture and painting.
-
D.
Pylos
Pylos is an ancient town in Messenia, Greece, known from Homeric epics and later Greek tradition as a significant Mycenaean center and legendary seat of King Nestor.
-
E.
Argēs
Argēs is a figure from Greek mythology, traditionally known as one of the Cyclopes associated with thunder and lightning.
- 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: Κόριννα Triple: [Corinna, nameInGreek, Κόριννα]
Generated description
Κόριννα is the ancient Greek lyric poet Corinna, traditionally associated with Boeotia and known for her mythological and local-themed poetry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Κόριννα Target entity description: Κόριννα is the ancient Greek lyric poet Corinna, traditionally associated with Boeotia and known for her mythological and local-themed poetry.
-
A.
Coronea
Coronea was an ancient city of Boeotia in central Greece, known for its strategic location and role in several classical Greek battles.
-
B.
Θήβα
Η Θήβα είναι ιστορική πόλη της Βοιωτίας στην κεντρική Ελλάδα, γνωστή από την αρχαία ελληνική μυθολογία και την κλασική ιστορία.
-
C.
Sikyon
Sikyon was an ancient Greek city-state in the northern Peloponnese, known for its artistic and cultural achievements, especially in sculpture and painting.
-
D.
Pylos
Pylos is an ancient town in Messenia, Greece, known from Homeric epics and later Greek tradition as a significant Mycenaean center and legendary seat of King Nestor.
-
E.
Argēs
Argēs is a figure from Greek mythology, traditionally known as one of the Cyclopes associated with thunder and lightning.
- 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_69ca8321bb44819081b74df0b710276d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe64215408190b45f462a32d3471d |
completed | March 31, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6d3fabb08190a3ad63f9153ad44c |
completed | April 2, 2026, 1:21 p.m. |
| NEDg | Description generation | batch_69ce6ec1e74081908fc235ffd13ef301 |
completed | April 2, 2026, 1:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce6fe13a00819095f5bec408435426 |
completed | April 2, 2026, 1:32 p.m. |
Created at: March 30, 2026, 6:16 p.m.