Triple
T27019071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rajat Kamal (Silver Lotus) medal |
E680614
|
entity |
| Predicate | awardedInCategories |
P42920
|
FINISHED |
| Object | feature films |
—
|
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: feature films | Statement: [Rajat Kamal (Silver Lotus) medal, awardedInCategories, feature films]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardedInCategories Context triple: [Rajat Kamal (Silver Lotus) medal, awardedInCategories, feature films]
-
A.
hasAwardCategoryWithin
chosen
Indicates that an award belongs to or is classified under a specific award category within a broader award system or hierarchy.
-
B.
alsoAwardedIn
Indicates that the same award or recognition was given in an additional time, place, or context beyond the primary one.
-
C.
hasCategoryWithinSameAwards
Indicates that two awards share at least one category within the same award event or series.
-
D.
isAwardedIn
Indicates that an award or honor is given or conferred within a specific event, context, or time frame.
-
E.
formerlyAwardedIn
Indicates that an award or recognition was previously given in a particular context, time, or location but is no longer awarded there.
- 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_69eeeb5450988190bfc9a3c012ac463a |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f6afebd7ec8190ab696f363d84abf0 |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca204148190850a3dc325bc07b7 |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 27, 2026, 7:07 a.m.