Triple
T16121256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edip Cansever |
E391146
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Cansever |
E391146
|
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: Cansever | Statement: [Edip Cansever, familyName, Cansever]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cansever Context triple: [Edip Cansever, familyName, Cansever]
-
A.
Cansever
chosen
Cansever is a Turkish surname most notably associated with the influential modernist poet Edip Cansever.
-
B.
Cannetan
A Cannetan is a resident or native of Le Cannet, a commune in the Alpes-Maritimes department of southeastern France.
-
C.
Oreshak
Oreshak is a village in central Bulgaria known for its proximity to the historic Troyan Monastery and its traditional crafts and cultural heritage.
-
D.
Vassarette
Vassarette is a lingerie and intimate apparel brand known for its affordable bras, panties, and shapewear sold primarily in mass-market retail channels.
-
E.
Sevez
Sevez is a French surname most notably borne by François Sevez, a French general.
- 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_69d87f1bb0988190b490d273dbf3fd03 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2020198908190b56900cbfc53f25c |
completed | April 17, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff2a61e448190be1f8c79cae6c7ee |
completed | May 10, 2026, 2:51 a.m. |
Created at: April 10, 2026, 5 a.m.