Triple
T9529850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sakari |
E229859
|
entity |
| Predicate | hasShortForm |
P43
|
FINISHED |
| Object | Saku |
E229859
|
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: Saku | Statement: [Sakari, hasShortForm, Saku]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saku Context triple: [Sakari, hasShortForm, Saku]
-
A.
Sakari
chosen
Sakari is a Finnish given name commonly used for males, derived from the biblical name Zachary.
-
B.
Sakaar
Sakaar is a chaotic, trash-covered planet ruled by the Grandmaster in the Marvel Cinematic Universe, known for its gladiatorial contests and bizarre cosmic detritus.
-
C.
Sakae
Sakae is a major downtown commercial and entertainment district in Nagoya, Japan, known for its shopping, nightlife, and landmark attractions.
-
D.
Sivaraksa
Sivaraksa is the surname of Sulak Sivaraksa, a prominent Thai social activist, intellectual, and proponent of engaged Buddhism.
-
E.
Yoske
Yoske is a diminutive or affectionate nickname commonly used as a short form of the Hebrew given name Yosef.
- 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_69ca8479934c81908006d0e6e970ae05 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98b2de3081909be70d9ab187dce6 |
completed | April 1, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14c38a3848190ab3561f70497c9eb |
completed | April 4, 2026, 5:36 p.m. |
Created at: March 30, 2026, 8 p.m.