Triple
T15827219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | İhsan Doğramacı |
E383774
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | İhsan |
E1037222
|
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: İhsan | Statement: [İhsan Doğramacı, givenName, İhsan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: İhsan Context triple: [İhsan Doğramacı, givenName, İhsan]
-
A.
İhsan
chosen
İhsan is a central character in the Turkish novel "Ateşten Gömlek," representing the sacrifices and emotional struggles of individuals involved in the Turkish War of Independence.
-
B.
Tahsin
Tahsin is a masculine given name of Turkish and Arabic origin, commonly used in Turkey and other Muslim-majority countries.
-
C.
Ishak
Ishak is the colloquial Russian nickname for the Polikarpov I-16, a pioneering Soviet monoplane fighter aircraft used extensively in the 1930s and during World War II.
-
D.
Ishaq
Ishaq is the Arabic form of the biblical name Isaac, commonly used in Muslim and Arabic-speaking communities.
-
E.
Kamarudeen
Kamarudeen is the given first name of Kamaru Usman, a Nigerian-American mixed martial artist and former UFC welterweight champion.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e11e60fe748190baa49c49605efd0d |
completed | April 16, 2026, 5:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff999da5008190921b3f129787999e |
completed | May 9, 2026, 8:31 p.m. |
Created at: April 10, 2026, 4:49 a.m.