Triple
T23604255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ek Do Teen |
E582846
|
entity |
| Predicate | recreatedInFilm |
P119067
|
FINISHED |
| Object | Baaghi 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: Baaghi 2 | Statement: [Ek Do Teen, recreatedInFilm, Baaghi 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recreatedInFilm Context triple: [Ek Do Teen, recreatedInFilm, Baaghi 2]
-
A.
revivedForFilm
Indicates that something (such as a character, series, or concept) was brought back into use or existence specifically for a film adaptation or production.
-
B.
replacedByInFilmAdaptation
Indicates that in a film adaptation, one entity (such as a character, object, or element) is substituted or superseded by another entity fulfilling a similar role.
-
C.
remakeOfFilmStarring
Indicates that one film is a remake of another film in which a specified actor or set of actors starred.
-
D.
liveActionRemakeOf
Indicates that one work is a live-action remake adaptation of another, originally non-live-action, work.
-
E.
remadeFor
chosen
Indicates that one work has been recreated or adapted specifically for another context, audience, 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_69e248faa2788190abb1581742daa6aa |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b0ee6ce881909f556404cc235418 |
completed | April 29, 2026, 7:19 a.m. |
| PD | Predicate disambiguation | batch_69f118c96a0081908a8ac98ef7e7e60c |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:44 p.m.