Triple
T14228319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marek |
E352681
|
entity |
| Predicate | hasCognate |
P2525
|
FINISHED |
| Object | Marek (Arabic: ماريك) |
E352681
|
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: Marek (Arabic: ماريك) | Statement: [Marek, hasCognate, Marek (Arabic: ماريك)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marek (Arabic: ماريك) Context triple: [Marek, hasCognate, Marek (Arabic: ماريك)]
-
A.
Marek
chosen
Marek is a common given name in several Slavic countries, equivalent to the Latin name Marcus.
-
B.
Mikael (Arabic form: Mikha'il)
Mikael (Arabic form: Mikha'il) is the Arabic variant of the name Michael, commonly associated with the archangel revered in Islamic, Christian, and Jewish traditions.
-
C.
Markian
Markian is a masculine given name of Slavic origin, commonly used in Eastern European countries.
-
D.
Mardik
Mardik is the given name of Mardik Martin, an American screenwriter known for his collaborations with director Martin Scorsese.
-
E.
Maurik
Maurik is a village in the Dutch province of Gelderland, known for its location along the Rhine and its recreational lakes.
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de622a48508190bbfedb762bd1674d |
completed | April 14, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd281801488190bcb17d27ee18cde6 |
completed | May 8, 2026, 12:02 a.m. |
Created at: April 10, 2026, 1:07 a.m.