Triple
T9725636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Nejla bint Asem |
E235601
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Nejla
Nejla is a Jordanian princess, the daughter of Prince Asem bin Nayef of the Hashemite royal family.
|
E816281
|
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: Nejla | Statement: [Princess Nejla bint Asem, givenName, Nejla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nejla Context triple: [Princess Nejla bint Asem, givenName, Nejla]
-
A.
Sawila
Sawila is a Papuan language spoken on Alor Island in eastern Indonesia, known for its complex verb morphology and membership in the Alor–Pantar language family.
-
B.
Anizah
Anizah is a prominent Arab tribal confederation historically associated with the Najd region of the Arabian Peninsula.
-
C.
Anila
Anila is a name and epithet of the Hindu wind god Vayu, representing the personification of air and life-breath.
-
D.
Faiha
Faiha is a residential district in Kuwait City known for its planned layout, community facilities, and central location within the capital.
-
E.
Neilia
Neilia was an American educator best known as the first wife of Joe Biden, who tragically died in a car accident in 1972 along with their infant daughter.
- 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: Nejla Triple: [Princess Nejla bint Asem, givenName, Nejla]
Generated description
Nejla is a Jordanian princess, the daughter of Prince Asem bin Nayef of the Hashemite royal family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nejla Target entity description: Nejla is a Jordanian princess, the daughter of Prince Asem bin Nayef of the Hashemite royal family.
-
A.
Sawila
Sawila is a Papuan language spoken on Alor Island in eastern Indonesia, known for its complex verb morphology and membership in the Alor–Pantar language family.
-
B.
Anizah
Anizah is a prominent Arab tribal confederation historically associated with the Najd region of the Arabian Peninsula.
-
C.
Anila
Anila is a name and epithet of the Hindu wind god Vayu, representing the personification of air and life-breath.
-
D.
Faiha
Faiha is a residential district in Kuwait City known for its planned layout, community facilities, and central location within the capital.
-
E.
Neilia
Neilia was an American educator best known as the first wife of Joe Biden, who tragically died in a car accident in 1972 along with their infant daughter.
- 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_69ca84d0fad481909cdd45aa77416c48 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e7838448190a7b5b259765a0d95 |
completed | April 1, 2026, 10:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19fadc2948190b405fb7f249b82aa |
completed | April 4, 2026, 11:33 p.m. |
| NEDg | Description generation | batch_69d1a0988f00819094b5fe6e4d328688 |
completed | April 4, 2026, 11:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1a0f811fc8190b6a46a0441159089 |
completed | April 4, 2026, 11:38 p.m. |
Created at: March 30, 2026, 8:21 p.m.