Triple
T5738031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aayega Aanewala |
E126545
|
entity |
| Predicate | associatedEraOfSinger |
P45527
|
FINISHED |
| Object | early career of Lata Mangeshkar |
—
|
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: early career of Lata Mangeshkar | Statement: [Aayega Aanewala, associatedEraOfSinger, early career of Lata Mangeshkar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedEraOfSinger Context triple: [Aayega Aanewala, associatedEraOfSinger, early career of Lata Mangeshkar]
-
A.
associatedWithArtistEra
chosen
Indicates a relationship where an artist is linked to a particular artistic era or period with which their work or influence is identified.
-
B.
recordingEra
Indicates the historical time period or era during which the recording was made.
-
C.
originalAlbumEra
Indicates the time period or phase in which an album was first released or originally produced.
-
D.
musicalEra
Indicates the historical musical period or style with which an entity (such as a composition, performance, or musician) is associated.
-
E.
notableEra
Indicates the historical period or era for which an entity is especially recognized or significant.
- 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_69c0083082288190b7478cead6b5430a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0255c8c308190821f968ec41c5078 |
completed | March 22, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69c021c8195481909419808b002628aa |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:47 p.m.