Triple
T25655089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sheyal Debota Rohoshyo |
E643210
|
entity |
| Predicate | hasComicRelief |
P157473
|
FINISHED |
| Object | Lalmohan Ganguly |
—
|
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: Lalmohan Ganguly | Statement: [Sheyal Debota Rohoshyo, hasComicRelief, Lalmohan Ganguly]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasComicRelief Context triple: [Sheyal Debota Rohoshyo, hasComicRelief, Lalmohan Ganguly]
-
A.
hasComedyElements
Indicates that something contains humorous or comedic aspects as part of its overall content or style.
-
B.
hasLeadComedian
Indicates that one entity serves as the primary or main comedian associated with another entity, such as a show, event, or performance.
-
C.
hasComedyAlbum
Indicates that one entity possesses, has released, or is associated with a comedy album.
-
D.
hasComedyShows
Indicates that one entity offers, features, or includes comedy shows associated with another entity.
-
E.
usesInComedy
chosen
Indicates that something is employed or incorporated as a humorous element within a comedic context or performance.
- 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_69fba2877b248190a974eb092243c0c4 |
completed | May 6, 2026, 8:20 p.m. |
| PD | Predicate disambiguation | batch_69fb8d06a1b48190a937aa410d159dfa |
completed | May 6, 2026, 6:48 p.m. |
Created at: April 21, 2026, 6:32 p.m.