Triple
T24006363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zee Cine Award for Best Female Playback Singer |
E594396
|
entity |
| Predicate | hasAwardedForWorkIn |
P36199
|
FINISHED |
| Object | Hindi-language 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: Hindi-language films | Statement: [Zee Cine Award for Best Female Playback Singer, hasAwardedForWorkIn, Hindi-language films]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAwardedForWorkIn Context triple: [Zee Cine Award for Best Female Playback Singer, hasAwardedForWorkIn, Hindi-language films]
-
A.
awardedForWorkOn
Indicates that one entity grants an award or recognition to another entity specifically for that entity’s work on a particular project, task, or subject.
-
B.
hasAwardedWorkType
Indicates that an entity has granted or is associated with a specific type or category of work that has received an award.
-
C.
hasAwardedFieldOfWork
chosen
Indicates that an entity has received an award specifically for work or contributions in a particular field or area of activity.
-
D.
hasWorkedFor
Indicates that an entity has been employed by or has provided work or services to another entity.
-
E.
hasWorkDedicatedTo
Indicates that one entity has a work (such as a book, artwork, or composition) that is formally dedicated to another entity.
- 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_69e288b9ecf08190b8c94a278f5674fe |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d4693a8c8190af2960c5832093f1 |
completed | April 29, 2026, 9:50 a.m. |
| PD | Predicate disambiguation | batch_69f17639d23c8190bed93434e2f9230a |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 9:40 p.m.