Triple
T7877597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rula Ghani |
E182895
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Rula
Rula is a feminine given name used in various cultures, notably in the Middle East.
|
E701601
|
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: Rula | Statement: [Rula Ghani, givenName, Rula]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rula Context triple: [Rula Ghani, givenName, Rula]
-
A.
Lela
Lela is a feminine given name used in various cultures, often as a variant of Leila or Layla.
-
B.
Luda
Luda is a nickname for Christopher Brian Bridges, better known as the American rapper and actor Ludacris.
-
C.
Dalia
Dalia is a central love interest and salon owner in the comedy film "You Don’t Mess with the Zohan," portrayed as a strong, independent Palestinian woman who becomes romantically involved with the title character.
-
D.
Dalia
Dalia is a supporting character in Disney’s 2019 live-action adaptation of Aladdin, serving as Princess Jasmine’s handmaiden and close confidante.
-
E.
Rozi
Rozi is an alternate name for the Lozi people, a Bantu ethnic group primarily inhabiting western Zambia and known for their rich cultural traditions and historical Barotseland kingdom.
- 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: Rula Triple: [Rula Ghani, givenName, Rula]
Generated description
Rula is a feminine given name used in various cultures, notably in the Middle East.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rula Target entity description: Rula is a feminine given name used in various cultures, notably in the Middle East.
-
A.
Lela
Lela is a feminine given name used in various cultures, often as a variant of Leila or Layla.
-
B.
Luda
Luda is a nickname for Christopher Brian Bridges, better known as the American rapper and actor Ludacris.
-
C.
Dalia
Dalia is a central love interest and salon owner in the comedy film "You Don’t Mess with the Zohan," portrayed as a strong, independent Palestinian woman who becomes romantically involved with the title character.
-
D.
Dalia
Dalia is a supporting character in Disney’s 2019 live-action adaptation of Aladdin, serving as Princess Jasmine’s handmaiden and close confidante.
-
E.
Rozi
Rozi is an alternate name for the Lozi people, a Bantu ethnic group primarily inhabiting western Zambia and known for their rich cultural traditions and historical Barotseland kingdom.
- 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_69ca828a17248190b46defe758bc5ad3 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39bc07208190aa452cef8ca5b0d6 |
completed | March 31, 2026, 3:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5b7fef308190bbc74e13f4205192 |
completed | March 31, 2026, 5:28 a.m. |
| NEDg | Description generation | batch_69cb7630b8908190a0b8f4856bceea0a |
completed | March 31, 2026, 7:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cbbfb894588190971ade076acdbd5c |
completed | March 31, 2026, 12:36 p.m. |
Created at: March 30, 2026, 4:57 p.m.