Triple
T29861570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strike Witches |
E758331
|
entity |
| Predicate | secondAnimeSeasonTitle |
P61670
|
FINISHED |
| Object | Strike Witches 2 |
—
|
NE NERFINISHED |
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: Strike Witches 2 | Statement: [Strike Witches, secondAnimeSeasonTitle, Strike Witches 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondAnimeSeasonTitle Context triple: [Strike Witches, secondAnimeSeasonTitle, Strike Witches 2]
-
A.
secondRanjiTitleSeason
Indicates the season in which an entity (typically a team) won its second Ranji Trophy title.
-
B.
season2Title
chosen
Indicates that the object is the title of the second season of the subject.
-
C.
secondSeriesTitle
Indicates that an entity has a second series whose title is given by the related value.
-
D.
season2Subtitle
Indicates that an entity serves as the subtitle (secondary title or tagline) specifically for the second season of another entity (such as a TV series).
-
E.
secondFilmTitle
Indicates that the specified value is the title of the second film associated with an entity or within a sequence of films.
- 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_69f2245b4dec8190b85f664d918a00a5 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fd82ed2a4c81908bd7797fbd2e3d08 |
completed | May 8, 2026, 6:30 a.m. |
| PD | Predicate disambiguation | batch_69fd814cc10481908e4f8123d35a5d0c |
completed | May 8, 2026, 6:23 a.m. |
Created at: April 29, 2026, 5:49 p.m.