Triple
T9421024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malek |
E227149
|
entity |
| Predicate | hasVariantForm |
P457
|
FINISHED |
| Object | Malyk |
E227150
|
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: Malyk | Statement: [Malek, hasVariantForm, Malyk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malyk Context triple: [Malek, hasVariantForm, Malyk]
-
A.
Malyk
chosen
Malyk is a given name, typically a variant spelling of Malik, used as a masculine personal name in various cultures.
-
B.
Marlohe
Marlohe is the surname of French actress and model Bérénice Marlohe, best known for her role as Sévérine in the James Bond film "Skyfall."
-
C.
Dimalik
Dimalik is the indigenous traditional religion of the Dimasa people, encompassing their ancestral deities, rituals, and cosmological beliefs.
-
D.
Myal
Myal is an Afro-Caribbean spiritual tradition originating among enslaved Africans in Jamaica, characterized by spirit possession, healing rituals, and resistance to oppression.
-
E.
Kayl
Kayl is a commune in southwestern Luxembourg known for its industrial heritage and proximity to the country’s steel-producing region.
- 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_69ca84359e7c819091148ba4b670e436 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd6c2528c8819087b0a21e703254b7 |
completed | April 1, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d107c95c9481909957b99cacf5e045 |
completed | April 4, 2026, 12:44 p.m. |
Created at: March 30, 2026, 7:48 p.m.