Triple
T29615064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sindhu Bhairavi |
E754837
|
entity |
| Predicate | femalePlaybackSingerAwardRecipient |
P167509
|
FINISHED |
| Object | K. S. Chithra |
—
|
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: K. S. Chithra | Statement: [Sindhu Bhairavi, femalePlaybackSingerAwardRecipient, K. S. Chithra]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: femalePlaybackSingerAwardRecipient Context triple: [Sindhu Bhairavi, femalePlaybackSingerAwardRecipient, K. S. Chithra]
-
A.
topFemaleArtistWinner
Indicates that the subject is the winner of an award or recognition for being the top female artist in a given context or competition.
-
B.
notableFemaleWinner
Indicates that the subject is a female who has achieved a notable or distinguished victory in the specified context.
-
C.
albumAwardedTo
Indicates that a particular album has been granted or assigned to a specific recipient, such as an artist or group.
-
D.
singerVoiceActor
Indicates that the subject is both a singer and a voice actor for the object, or performs voice-acting roles in addition to singing in relation to the object.
-
E.
leadingActressNominee
Indicates that a person has been nominated for an award in the leading actress category for a particular work or performance.
- F. None of above. chosen
Provenance (4 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_69f0ef85f62081909842b59fdf8717e1 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f66e20cefc8190aacd49631e0c5274 |
completed | May 2, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69f6659d36208190b01412600a4ed57d |
completed | May 2, 2026, 8:59 p.m. |
| PDg | Predicate description generation | batch_69f6691da93081909deaf680614fc900 |
completed | May 2, 2026, 9:14 p.m. |
Created at: April 28, 2026, 6:31 p.m.