Triple
T6792075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haroun Khalifa |
E155956
|
entity |
| Predicate | hasMother |
P1909
|
FINISHED |
| Object | Soraya Khalifa |
E155958
|
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: Soraya Khalifa | Statement: [Haroun Khalifa, hasMother, Soraya Khalifa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Soraya Khalifa Context triple: [Haroun Khalifa, hasMother, Soraya Khalifa]
-
A.
Soraya Khalifa
chosen
Soraya Khalifa is a character in Salman Rushdie’s novel "Haroun and the Sea of Stories," depicted as Haroun’s mother whose departure from the family sets the story’s emotional journey in motion.
-
B.
Alia Ghanem
Alia Ghanem is the mother of Osama bin Laden and a member of a prominent Saudi family.
-
C.
Alia Tabbaa
Alia Tabbaa is a Jordanian princess known for her philanthropic work and role in various charitable organizations.
-
D.
Rita Ora
Rita Ora is a British singer, songwriter, and actress known for her hit pop songs and film roles, including her appearance in the Fifty Shades film series.
-
E.
Natasha Liu Bordizzo
Natasha Liu Bordizzo is an Australian actress and model known for her breakout role in the sequel to "Crouching Tiger, Hidden Dragon" and for appearing in various international film and television productions.
- 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_69c6881770fc8190972b2906390380f5 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2ae4d1c819089ac6b3abf11a341 |
completed | March 27, 2026, 6:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c71a8eaefc819098e848b3012da749 |
completed | March 28, 2026, 12:02 a.m. |
Created at: March 27, 2026, 2:15 p.m.