Triple
T26036743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tapen Chatterjee |
E647571
|
entity |
| Predicate | appearedInFilmSeries |
P26455
|
FINISHED |
| Object | Goopy–Bagha trilogy |
—
|
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: Goopy–Bagha trilogy | Statement: [Tapen Chatterjee, appearedInFilmSeries, Goopy–Bagha trilogy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearedInFilmSeries Context triple: [Tapen Chatterjee, appearedInFilmSeries, Goopy–Bagha trilogy]
-
A.
hasPartInFilmSeries
Indicates that an entity participates in or contributes to one or more installments within a specific film series.
-
B.
filmSeriesProtagonistOf
Indicates that a character serves as the main recurring protagonist of a particular film series.
-
C.
appearsInSeries
chosen
Indicates that an entity is featured or occurs within a particular series.
-
D.
filmSeries
Indicates that a film is part of, or associated with, a larger film series or franchise.
-
E.
appearsInSeriesBy
Indicates that one entity (such as a work or character) is featured within a series that is created, authored, or produced by 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_69e77e8c88f08190858c4c81bd2e1b9a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f65aa07c048190a5df30d53d8f0cf5 |
completed | May 2, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f659cc571c819097e51e531961d812 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 22, 2026, 9:08 a.m.