Triple
T15895244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huzur |
E385436
|
entity |
| Predicate | majorCharacter |
P12208
|
FINISHED |
| Object | Suad |
E1039842
|
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: Suad | Statement: [Huzur, majorCharacter, Suad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suad Context triple: [Huzur, majorCharacter, Suad]
-
A.
Suad
chosen
Suad is a central fictional character in the Turkish novel "Dudaktan Kalbe," known for her emotional depth and role in the story’s romantic and dramatic developments.
-
B.
Suhaila
Suhaila is the young girl protagonist of the children's book "Ladder to the Moon," who embarks on a magical, intergenerational journey with her grandmother to explore themes of compassion and connection.
-
C.
Juwayriya
Juwayriya was a wife of the Prophet Muhammad and is regarded as one of the Mothers of the Believers in Islamic tradition.
-
D.
المروة
المروة هو اسم علم عربي يُستخدم غالبًا للإناث ويُستمد من اسم أحد الجبلين في شعائر السعي بين الصفا والمروة في مكة.
-
E.
Raghad
Raghad is the first name of Raghad Hussein, the eldest daughter of former Iraqi president Saddam Hussein.
- 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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15638f5bc81908de13f4b6a52b60c |
completed | April 16, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb04b55ec8190a5b3513b2afa4f83 |
completed | May 9, 2026, 10:08 p.m. |
Created at: April 10, 2026, 4:51 a.m.