Triple
T15595546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sylvie Vartan |
E374883
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Vartan |
E570782
|
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: Vartan | Statement: [Sylvie Vartan, familyName, Vartan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vartan Context triple: [Sylvie Vartan, familyName, Vartan]
-
A.
Vartan
chosen
Vartan is a surname most notably associated with French-American actor Michael Vartan.
-
B.
Dorus
Dorus is a figure in Greek mythology regarded as the eponymous ancestor of the Dorian people.
-
C.
Tecmessa
Tecmessa is a captive Trojan woman and the devoted consort of Ajax in Greek mythology, prominently featured in Sophocles’ tragedy "Ajax."
-
D.
Proetus
Proetus is a king in Greek mythology, often associated with the city of Tiryns and known for his conflicts with his twin brother Acrisius and his role in the story of Bellerophon.
-
E.
Daedalion
Daedalion is a figure in Greek mythology known as the father of Chione and for his tragic transformation into a hawk by the god Apollo.
- 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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e5f9db8819083abf80f01f32b3d |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56ca72ec8190a237db843dc6d625 |
completed | May 9, 2026, 3:46 p.m. |
Created at: April 10, 2026, 4:12 a.m.