Triple
T18584590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inuyasha |
E454202
|
entity |
| Predicate | sequelAnimeLastAired |
P15264
|
FINISHED |
| Object | 2010 |
—
|
LITERAL 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: 2010 | Statement: [Inuyasha, sequelAnimeLastAired, 2010]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sequelAnimeLastAired Context triple: [Inuyasha, sequelAnimeLastAired, 2010]
-
A.
lastAiredIn
Indicates the most recent time or place in which a recurring event, series, or broadcast was last shown or transmitted.
-
B.
lastAired
Indicates the most recent time or date on which something (typically a broadcast or episode) was shown or transmitted.
-
C.
latestReleaseInSeries
Indicates that one entity is the most recently released installment within the series represented by the other entity.
-
D.
sequelReleaseYear
chosen
Indicates the calendar year in which a sequel to an original work is released.
-
E.
sequelAppearsIn
Indicates that a sequel (such as a follow-up work or installment) is featured, shown, or occurs within a specified context or medium.
- F. None of above.
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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e545b0dff08190a3be481faec34a3c |
completed | April 19, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69e478c98d4c81909d37a0e72c6e7bd0 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:44 a.m.