Triple
T16057388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mohammed VI of Morocco |
E389518
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Lalla Latifa Hammou |
E911539
|
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: Lalla Latifa Hammou | Statement: [Mohammed VI of Morocco, mother, Lalla Latifa Hammou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lalla Latifa Hammou Context triple: [Mohammed VI of Morocco, mother, Lalla Latifa Hammou]
-
A.
Lalla Latifa Hammou
chosen
Lalla Latifa Hammou is the widow of King Hassan II of Morocco and the mother of King Mohammed VI and several other Moroccan royals.
-
B.
Lalla Lamia Solh
Lalla Lamia Solh is a Lebanese princess of the prominent Solh political family who became a member of the Moroccan royal family through her marriage to Prince Abdallah of Morocco.
-
C.
Hanaa Bouchaib
Hanaa Bouchaib is an actress known for her role in the acclaimed Spanish-language drama film "Biutiful."
-
D.
Wassila Ben Ammar
Wassila Ben Ammar was a prominent Tunisian political figure and the influential second wife of President Habib Bourguiba.
-
E.
Latifa Ouaou
Latifa Ouaou is a film producer best known for her work on animated features such as DreamWorks' "Puss in Boots."
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1837579488190964ca004c2eb01c4 |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbe678fc8190b36737a9cd29691c |
completed | May 10, 2026, 1:14 a.m. |
Created at: April 10, 2026, 4:57 a.m.