Triple
T16562060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kais Saied |
E402362
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Kais |
E402362
|
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: Kais | Statement: [Kais Saied, givenName, Kais]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kais Context triple: [Kais Saied, givenName, Kais]
-
A.
Kais
chosen
Kais is the given name of Kais Saied, the Tunisian politician and president known for his anti-corruption stance and consolidation of executive power.
-
B.
Kasis
Kasis is an alternative transliteration of the name "Kassis," which is a surname and given name found in various Arabic-speaking and Mediterranean communities.
-
C.
Kas
Kas is the historical name of Shahrisabz, an ancient city in southern Uzbekistan renowned as the birthplace of Timur (Tamerlane) and for its significant Timurid-era architectural monuments.
-
D.
Kai
Kai is the fictional half-Japanese, half-English outcast and skilled warrior portrayed by Keanu Reeves in the fantasy samurai film "47 Ronin."
-
E.
Kai
Kai is a masculine given name used in various cultures, often associated with meanings such as "sea," "forgiveness," or "victory" depending on its linguistic origin.
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3576eb63081908cb5dc6c0a8a13ac |
completed | April 18, 2026, 10:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0067bfcf78819082bf1a15eebdab86 |
completed | May 10, 2026, 11:10 a.m. |
Created at: April 10, 2026, 5:15 a.m.