Triple
T5363623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orestheus |
E103077
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Hellen |
E102205
|
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: Hellen | Statement: [Orestheus, sibling, Hellen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hellen Context triple: [Orestheus, sibling, Hellen]
-
A.
Hellen
chosen
Hellen is a figure in Greek mythology regarded as the legendary ancestor and eponymous founder of the Hellenes (Greeks).
-
B.
Eleni
Eleni is a feminine given name of Greek origin, commonly used in Greece and among Greek communities worldwide.
-
C.
Vassiliki
Vassiliki is a coastal village on the Greek island of Lefkada, known for its popular beaches and excellent windsurfing conditions.
-
D.
Helene
Helene is a feminine given name of Greek origin, derived from Helen and associated with meanings like "light" or "torch."
-
E.
Helene
Helene is the given name of Leni Riefenstahl, the controversial German filmmaker and actress known for her propaganda films during the Nazi era.
- 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_69bd43daa3e4819090b59d127db70e57 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd865d42508190a1a96121674c1020 |
completed | March 20, 2026, 5:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf21f2bc708190b596c5402fa07e75 |
completed | March 21, 2026, 10:55 p.m. |
Created at: March 20, 2026, 2:02 p.m.