Triple
T8099130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mikael |
E189062
|
entity |
| Predicate | hasArabicForm |
P6450
|
FINISHED |
| Object | Mikha'il |
E36451
|
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: Mikha'il | Statement: [Mikael, hasArabicForm, Mikha'il]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mikha'il Context triple: [Mikael, hasArabicForm, Mikha'il]
-
A.
Mikhail
chosen
Mikhail is a common Russian male given name, famously borne by Soviet leader Mikhail Gorbachev.
-
B.
Aleksandr
Aleksandr is a common Russian male given name of Greek origin, equivalent to Alexander in English.
-
C.
Oleg
Oleg is a masculine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
-
D.
Nikolai
Nikolai is a recurring Russian ally and pilot in the Call of Duty: Modern Warfare series, known for assisting the main protagonists with transport and intelligence.
-
E.
Alexei Ivanovich
Alexei Ivanovich is the impulsive, obsessive young tutor whose descent into gambling addiction drives the plot of Fyodor Dostoevsky’s novella "The Gambler."
- 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_69ca82b886d88190a9cba0d5a4a27521 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb42961ad4819085d023427fc5ac5f |
completed | March 31, 2026, 3:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6ca1110c8190b72a2a573ddab06d |
completed | April 2, 2026, 1:18 p.m. |
Created at: March 30, 2026, 5:30 p.m.