Triple
T15950127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Halling |
E386791
|
entity |
| Predicate | parentOf |
P120
|
FINISHED |
| Object | Jinto |
E1186732
|
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: Jinto | Statement: [Halling, parentOf, Jinto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jinto Context triple: [Halling, parentOf, Jinto]
-
A.
Jinto
chosen
Jinto is a character best known from the sci-fi light novel and anime series "Crest of the Stars" and its sequels, where he serves as the human co-protagonist alongside the Abh princess Lafiel.
-
B.
Jinki
Jinki was a Japanese era name (nengō) of the Nara period, used during the reign of Empress Genshō.
-
C.
Jino
Jino are an officially recognized ethnic minority group in China, primarily living in Yunnan Province and known for their distinct language and traditional culture.
-
D.
Kohly
Kohly is a residential neighborhood in the Playa municipality of Havana, Cuba, known for its quiet streets and proximity to major city avenues.
-
E.
Jimintō
Jimintō is the dominant conservative political party in Japan, formally known as the Liberal Democratic Party.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156d4c5008190a56ebf8c28f712dc |
completed | April 16, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3c1b49c819087e5a088d41963ec |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:53 a.m.