Triple
T29299540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mayabazar |
E742922
|
entity |
| Predicate | releaseDateTamil |
P177559
|
FINISHED |
| Object | 1957-04-12 |
—
|
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: 1957-04-12 | Statement: [Mayabazar, releaseDateTamil, 1957-04-12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: releaseDateTamil Context triple: [Mayabazar, releaseDateTamil, 1957-04-12]
-
A.
releaseDateTelugu
Indicates the date on which something (such as a work or product) was released specifically in the Telugu language or Telugu market.
-
B.
releaseDateIndia
Indicates the date on which something (such as a product, film, or publication) is officially released or made available in India.
-
C.
videoReleaseDate
Indicates the date on which a video is officially released or made publicly available.
-
D.
filmReleaseDate
Indicates the calendar date on which a film was first officially released or made publicly available.
-
E.
releaseDate_Theatrical
Indicates the date on which a work was first made publicly available in theaters.
- 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_69f09123ed9881909f351f7541933f5e |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f7009d39508190af7301f824615e88 |
completed | May 3, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69f6fc53f4f881908dcc698687bbb64d |
completed | May 3, 2026, 7:42 a.m. |
| PDg | Predicate description generation | batch_69f6ffb7554881908993d6d2ffbcf8f5 |
completed | May 3, 2026, 7:56 a.m. |
Created at: April 28, 2026, 1:09 p.m.