Triple
T492508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saddam Hussein |
E10219
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Rana Hussein |
E61382
|
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: Rana Hussein | Statement: [Saddam Hussein, child, Rana Hussein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rana Hussein Context triple: [Saddam Hussein, child, Rana Hussein]
-
A.
Sajida Talfah
chosen
Sajida Talfah was the first wife and cousin of former Iraqi president Saddam Hussein and the mother of several of his children.
-
B.
Oussama Khatib
Oussama Khatib is a prominent roboticist known for his pioneering work in robot motion planning, control, and human-robot interaction.
-
C.
Nayib
Nayib is the given name of Nayib Bukele, the President of El Salvador known for his controversial, tech-focused and hardline governance style.
-
D.
Hassan Aref
Hassan Aref was a prominent physicist and engineer known for his pioneering contributions to fluid dynamics, particularly in vortex dynamics and chaotic advection.
-
E.
Achmed Abdullah
Achmed Abdullah was a Russian-born American writer and screenwriter known for his exotic adventure tales and contributions to early Hollywood cinema.
- 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_69a2e847df8481909239ec08ccf1e376 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f0faab4881909f65f172198b5bd2 |
completed | Feb. 28, 2026, 1:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a481ecd6e08190a091064a7a1d32c6 |
completed | March 1, 2026, 6:14 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.