Triple
T7660197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bhojpuri cinema |
E173484
|
entity |
| Predicate | sawResurgenceIn |
P27435
|
FINISHED |
| Object | 2000s |
—
|
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: 2000s | Statement: [Bhojpuri cinema, sawResurgenceIn, 2000s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sawResurgenceIn Context triple: [Bhojpuri cinema, sawResurgenceIn, 2000s]
-
A.
sawRevivalIn
chosen
Indicates that an entity experienced a renewed interest, resurgence, or comeback during a specified time period or context.
-
B.
sawActionDuring
Indicates that one entity observed an action or event occurring within a specific time period or during another event.
-
C.
sawServiceIn
Indicates that an entity observed or experienced a particular service within a specified context, location, or timeframe.
-
D.
sawClashesIn
Indicates that an entity witnessed or experienced clashes or violent confrontations occurring in a particular location or context.
-
E.
sawActionOn
Indicates that one entity visually perceived another entity performing an action.
- 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_69c69955517c819085bc715b96d304d2 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7061cbc3c8190a917dd7e71214182 |
completed | March 27, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69c7015dd8fc8190bc5f52a12bd46209 |
completed | March 27, 2026, 10:14 p.m. |
Created at: March 27, 2026, 3:59 p.m.