Triple
T2984114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jōkō |
E80579
|
entity |
| Predicate | hasRomanization |
P2508
|
FINISHED |
| Object | Joko |
E316410
|
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: Joko | Statement: [Jōkō, hasRomanization, Joko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joko Context triple: [Jōkō, hasRomanization, Joko]
-
A.
Joko
chosen
Joko is a romanized variant of the Japanese name Jōkō, which can function as a given name or part of a title.
-
B.
Kiko
Kiko is the young, albino giant ape who serves as the gentle offspring and companion of King Kong in the 1933 film "Son of Kong."
-
C.
Roro
Roro is the ISO 15924 script code assigned to the undeciphered Rongorongo script of Easter Island.
-
D.
Joyo
Joyo is a small city in Japan known for its location in Kyoto Prefecture and its blend of residential areas, light industry, and historical sites.
-
E.
Jovie
Jovie is a cheerful and kind-hearted department store employee and Buddy's love interest in the Christmas comedy film "Elf."
- 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_69ad8b15f6ac8190be5fd16a33edcb4f |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99c481fc81909971c96352a881b4 |
completed | March 8, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b12e31a8188190bd5ad6c9757e7141 |
completed | March 11, 2026, 8:56 a.m. |
Created at: March 8, 2026, 2:59 p.m.