Triple
T25655479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tintorettor Jishu (2008 film) |
E643221
|
entity |
| Predicate | hasLiterarySourceSeries |
P165840
|
FINISHED |
| Object | Feluda |
—
|
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: Feluda | Statement: [Tintorettor Jishu (2008 film), hasLiterarySourceSeries, Feluda]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLiterarySourceSeries Context triple: [Tintorettor Jishu (2008 film), hasLiterarySourceSeries, Feluda]
-
A.
literarySeries
Indicates that one work is part of, or belongs to, a larger literary series that connects multiple related works.
-
B.
literarySeriesType
Indicates the specific kind or category of a literary series that an entity belongs to or is characterized as.
-
C.
literarySeriesGenre
Indicates that a literary series belongs to or is categorized under a particular genre.
-
D.
literarySeriesSubject
chosen
Indicates that a work is part of, or concerns, a particular literary series as its subject.
-
E.
literarySeriesPublisher
Indicates the publishing company responsible for producing or releasing a given literary series.
- 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_69e77e7d8a848190a98d0162325fd780 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f676c440708190a4b9974e95d2291a |
completed | May 2, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f675fd59608190b246383435e68fce |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 21, 2026, 6:32 p.m.