Triple
T18287404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abdul Hamid I |
E438018
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object |
Şermi Kadın
Şermi Kadın was a consort of the Ottoman imperial harem and the mother of Sultan Abdul Hamid I.
|
E1317267
|
NE FINISHED |
How this triple was built (4 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: Şermi Kadın | Statement: [Abdul Hamid I, mother, Şermi Kadın]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Şermi Kadın Context triple: [Abdul Hamid I, mother, Şermi Kadın]
-
A.
Marlies
Marlies is the common nickname for the Toronto Marlboros, a historic Canadian junior ice hockey team based in Toronto.
-
B.
Djanira
Djanira was a prominent Brazilian modernist painter known for her vivid depictions of everyday life, religious themes, and popular culture.
-
C.
Domracheva
Domracheva is the surname of Darya Domracheva, the Belarusian biathlete and multiple Olympic champion.
-
D.
Sanda
Sanda is a city in Japan’s Kansai region known for its residential communities, natural surroundings, and role as a suburban area of Kobe and Osaka.
-
E.
Olimpia Maidalchini
Olimpia Maidalchini was a powerful 17th-century Italian noblewoman and influential sister-in-law of Pope Innocent X, long rumored to have dominated papal politics and finances during his reign.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Şermi Kadın Triple: [Abdul Hamid I, mother, Şermi Kadın]
Generated description
Şermi Kadın was a consort of the Ottoman imperial harem and the mother of Sultan Abdul Hamid I.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Şermi Kadın Target entity description: Şermi Kadın was a consort of the Ottoman imperial harem and the mother of Sultan Abdul Hamid I.
-
A.
Marlies
Marlies is the common nickname for the Toronto Marlboros, a historic Canadian junior ice hockey team based in Toronto.
-
B.
Djanira
Djanira was a prominent Brazilian modernist painter known for her vivid depictions of everyday life, religious themes, and popular culture.
-
C.
Domracheva
Domracheva is the surname of Darya Domracheva, the Belarusian biathlete and multiple Olympic champion.
-
D.
Sanda
Sanda is a city in Japan’s Kansai region known for its residential communities, natural surroundings, and role as a suburban area of Kobe and Osaka.
-
E.
Olimpia Maidalchini
Olimpia Maidalchini was a powerful 17th-century Italian noblewoman and influential sister-in-law of Pope Innocent X, long rumored to have dominated papal politics and finances during his reign.
- F. None of above. chosen
Provenance (5 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_69d8b914530c8190b4474d862a2b2a1b |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e500faf62081908f16ebee0a195ba2 |
completed | April 19, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03bb542d98819084a2850c41f5f581 |
completed | May 12, 2026, 11:44 p.m. |
| NEDg | Description generation | batch_6a03bcd697148190a847f7c9af55f8fe |
completed | May 12, 2026, 11:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03be53e6f081908e35cd57305b26b7 |
completed | May 12, 2026, 11:57 p.m. |
Created at: April 10, 2026, 10:35 a.m.