Triple
T7503096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Noor bint Asem |
E177314
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
bint Asem
Bint Asem is a member of the Jordanian royal family, known as a Hashemite princess connected to the line of King Abdullah II.
|
E668294
|
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: bint Asem | Statement: [Princess Noor bint Asem, familyName, bint Asem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: bint Asem Context triple: [Princess Noor bint Asem, familyName, bint Asem]
-
A.
Asan
Asan is a city in South Korea known for its hot springs, historical sites, and growing role as an industrial and educational center.
-
B.
Asmal
Asmal is a surname most notably associated with Kader Asmal, a prominent South African anti-apartheid activist, academic, and government minister.
-
C.
Asake
Asake is a Nigerian singer and songwriter known for his energetic fusion of Afrobeats, amapiano, and street-pop, and for being one of the standout artists on Olamide’s YBNL Nation label.
-
D.
Askim
Askim is a town in southeastern Norway that serves as one of the locations for Østfold University College’s campuses.
-
E.
Abas
Abas is a figure in Greek mythology known primarily as the son of Hypermnestra and a king of Argos in some traditions.
- 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: bint Asem Triple: [Princess Noor bint Asem, familyName, bint Asem]
Generated description
Bint Asem is a member of the Jordanian royal family, known as a Hashemite princess connected to the line of King Abdullah II.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: bint Asem Target entity description: Bint Asem is a member of the Jordanian royal family, known as a Hashemite princess connected to the line of King Abdullah II.
-
A.
Asan
Asan is a city in South Korea known for its hot springs, historical sites, and growing role as an industrial and educational center.
-
B.
Asmal
Asmal is a surname most notably associated with Kader Asmal, a prominent South African anti-apartheid activist, academic, and government minister.
-
C.
Asake
Asake is a Nigerian singer and songwriter known for his energetic fusion of Afrobeats, amapiano, and street-pop, and for being one of the standout artists on Olamide’s YBNL Nation label.
-
D.
Askim
Askim is a town in southeastern Norway that serves as one of the locations for Østfold University College’s campuses.
-
E.
Abas
Abas is a figure in Greek mythology known primarily as the son of Hypermnestra and a king of Argos in some traditions.
- 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_69c69f2696688190915a8458f2398211 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5b32c708190bb3a92d0d949304a |
completed | March 27, 2026, 9:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83c9953e88190a1e0e899f2ddf822 |
completed | March 28, 2026, 8:39 p.m. |
| NEDg | Description generation | batch_69c83defe434819086bf6d63c8f2675e |
completed | March 28, 2026, 8:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c83e531ea881909b6186de9adbccc0 |
completed | March 28, 2026, 8:47 p.m. |
Created at: March 27, 2026, 3:44 p.m.