Triple
T4502963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Halime Hatun |
E101265
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Halime |
E101265
|
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: Halime | Statement: [Halime Hatun, givenName, Halime]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Halime Context triple: [Halime Hatun, givenName, Halime]
-
A.
Halime Hatun
chosen
Halime Hatun is traditionally regarded as the mother of Osman I, the founder of the Ottoman Empire, and is venerated in Turkish and Ottoman historical lore.
-
B.
Hafsa Hatun
Hafsa Hatun was an Ottoman-era woman of notable status who is interred in the famed Yeşil Türbe (Green Tomb) in Bursa, Turkey.
-
C.
Sümeyye
Sümeyye is the given name of Sümeyye Erdoğan, the daughter of Turkish President Recep Tayyip Erdoğan and a public figure in Turkey.
-
D.
Habiba
Habiba is a feminine given name commonly used in Arabic-speaking and Muslim-majority cultures, meaning "beloved" or "darling."
-
E.
Nâzıme Hanım
Nâzıme Hanım was the wife of prominent Ottoman-Turkish poet Tevfik Fikret and a member of an influential late Ottoman intellectual family.
- 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_69bd43d175248190894dc58b5b395c26 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd56fb2bec8190b74b6a49d9475514 |
completed | March 20, 2026, 2:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd7f71de7081908520ebb81d184e0c |
completed | March 20, 2026, 5:10 p.m. |
Created at: March 20, 2026, 1:01 p.m.