Triple
T22103222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Filmfare Award for Best Comedian |
E546219
|
entity |
| Predicate | hasAwardingInterval |
P2205
|
FINISHED |
| Object | once per year |
—
|
LITERAL FINISHED |
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: once per year | Statement: [Filmfare Award for Best Comedian, hasAwardingInterval, once per year]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAwardingInterval Context triple: [Filmfare Award for Best Comedian, hasAwardingInterval, once per year]
-
A.
hasAwardPeriod
Indicates the time span or date range during which an award is valid, active, or applicable.
-
B.
hasInterval
Indicates that something is associated with a specific span or range between two points in time, space, or value.
-
C.
isAwardedWithin
Indicates that an award or recognition is granted to an entity within a specified context, scope, or time frame.
-
D.
awardedFrequency
chosen
Indicates how often an award or recognition is given within a specified time period.
-
E.
hasCountingPeriod
Indicates that there is a defined time span or interval over which occurrences, quantities, or measurements related to an entity are counted or aggregated.
- 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129175a7881909549883f23c53dca |
completed | April 28, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69e71b20ec50819096ac196c798f8e3c |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:30 p.m.