Triple
T8099144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mikael |
E189062
|
entity |
| Predicate | scriptForm |
P9329
|
FINISHED |
| Object | ميكائيل |
E115807
|
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: ميكائيل | Statement: [Mikael, scriptForm, ميكائيل]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ميكائيل Context triple: [Mikael, scriptForm, ميكائيل]
-
A.
Michaël
Michaël is a given name, typically a French or Dutch variant of the name Michael, used for males in various European countries.
-
B.
Micheal
chosen
Micheal is a given name, typically a variant spelling of the more common name Michael.
-
C.
Michaiah
Michaiah is the daughter of American actor and musician Chet Hanks, making her a member of the extended Hanks family that includes renowned actor Tom Hanks.
-
D.
Mychael
Mychael is a Canadian film composer best known for his evocative, world music–influenced scores, including the Academy Award–winning soundtrack for "Life of Pi."
-
E.
Micah
Micah is a prophetic book in the Old Testament that records the messages of the prophet Micah, focusing on judgment against injustice and the hope of future restoration.
- 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_69cc641d96e88190adee974b79d5fc05 |
completed | April 1, 2026, 12:17 a.m. |
Created at: March 30, 2026, 5:30 p.m.