Triple
T16894030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ömer İnönü |
E424250
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Özden Toker |
E417681
|
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: Özden Toker | Statement: [Ömer İnönü, sibling, Özden Toker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Özden Toker Context triple: [Ömer İnönü, sibling, Özden Toker]
-
A.
Özden Toker
chosen
Özden Toker is a Turkish public figure and philanthropist known as the daughter of Turkey’s second president and prominent statesman İsmet İnönü.
-
B.
Ozlem Tureci
Özlem Türeci is a German physician, scientist, and entrepreneur best known as the co-founder and chief medical officer of BioNTech, where she helped develop one of the first mRNA-based COVID-19 vaccines.
-
C.
Emine Ülker Tarhan
Emine Ülker Tarhan is a Turkish jurist and politician known for her tenure as a member of parliament and her outspoken opposition to government policies.
-
D.
Nurhan Sekerci-Porst
Nurhan Sekerci-Porst is a German film producer known for her work on the acclaimed crime drama film "In the Fade."
-
E.
Feride Karaca
Feride Karaca is known as the wife of legendary Turkish rock musician and political activist Cem Karaca.
- 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_69d889da3e8c8190a2b118f383f0beac |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3c8d6bfc88190b6b47b89c1135871 |
completed | April 18, 2026, 6:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c7aa83bc8190832d2f3903ce0081 |
completed | May 10, 2026, 6 p.m. |
Created at: April 10, 2026, 5:29 a.m.