Triple
T8994004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eirini Lelekou |
E214854
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object | Eirini |
E214855
|
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: Eirini | Statement: [Eirini Lelekou, hasGivenName, Eirini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eirini Context triple: [Eirini Lelekou, hasGivenName, Eirini]
-
A.
Eirini
chosen
Eirini is the Greek given name of renowned actress and singer Irene Papas, reflecting her Hellenic heritage.
-
B.
Eleni
Eleni is a feminine given name of Greek origin, commonly used in Greece and among Greek communities worldwide.
-
C.
Ermioni
Ermioni is a small coastal town and popular holiday destination in the Argolis region of the Peloponnese in Greece, known for its picturesque harbor and proximity to nearby islands.
-
D.
Giannina
Giannina is a Costa Rican actress and film producer best known for her frequent collaborations with director Ridley Scott, to whom she is married.
-
E.
Vassiliki
Vassiliki is a coastal village on the Greek island of Lefkada, known for its popular beaches and excellent windsurfing conditions.
- 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_69ca83a05c608190bdfdbdb25e994b39 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc687798a881908e6fdd9a39219f1d |
completed | April 1, 2026, 12:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdb92ebf4819092b7ee94af16064b |
completed | April 3, 2026, 3:24 p.m. |
Created at: March 30, 2026, 7:04 p.m.