Triple
T12072995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Pilgrim of Hate |
E287470
|
entity |
| Predicate | hasSeriesGenre |
P36857
|
FINISHED |
| Object | medieval mystery |
—
|
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: medieval mystery | Statement: [The Pilgrim of Hate, hasSeriesGenre, medieval mystery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSeriesGenre Context triple: [The Pilgrim of Hate, hasSeriesGenre, medieval mystery]
-
A.
hasGenreInSeries
chosen
Indicates that a particular genre is associated with, or applies to, a work as it appears within a specific series.
-
B.
hasSeriesSubject
Indicates that a series is about, centers on, or thematically focuses on a particular subject.
-
C.
isEpisodeOfGenre
Indicates that a specific episode belongs to or is categorized under a particular genre.
-
D.
hasMusicFilmSeries
Indicates that a subject is associated with or includes a series of films that are centered around music or musical themes.
-
E.
seriesOf
Indicates that one entity is a sequence or ordered set of related items, events, or parts that collectively form or belong to another entity.
- 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902bda47c8190b94860b31df4a98c |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:48 p.m.