Triple
T25438841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kolkata Knight Riders |
E637446
|
entity |
| Predicate | franchiseOwnerCompany |
P34575
|
FINISHED |
| Object | Red Chillies Entertainment |
—
|
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: Red Chillies Entertainment | Statement: [Kolkata Knight Riders, franchiseOwnerCompany, Red Chillies Entertainment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: franchiseOwnerCompany Context triple: [Kolkata Knight Riders, franchiseOwnerCompany, Red Chillies Entertainment]
-
A.
franchiseParentCompany
Indicates that one company is the overarching parent organization that owns or controls a franchise operated by another entity.
-
B.
franchiseOf
Indicates that one entity operates as a franchise belonging to or licensed by another entity.
-
C.
parentCompanyOfFranchiseOwner
Indicates that one company is the corporate parent of another company that owns and operates a franchise.
-
D.
franchiseOwner
chosen
Indicates that one entity holds the ownership and operating rights of a franchise granted by another entity.
-
E.
franchiseOwnerOfWorkItAppearsIn
Indicates that a franchise is the owner or controlling rights holder of the work in which a given entity appears.
- 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_69e75db6c97081908178383fa632b193 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f6e438748190a30d9dabad4df46e |
completed | May 2, 2026, 1:06 p.m. |
| PD | Predicate disambiguation | batch_69f4683b34748190818428489a226124 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 21, 2026, 2 p.m.