Triple
T29417926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viduthalai Part 2 |
E746073
|
entity |
| Predicate | anticipatedAudience |
P10804
|
FINISHED |
| Object | Tamil cinema viewers |
—
|
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: Tamil cinema viewers | Statement: [Viduthalai Part 2, anticipatedAudience, Tamil cinema viewers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: anticipatedAudience Context triple: [Viduthalai Part 2, anticipatedAudience, Tamil cinema viewers]
-
A.
typicalAudience
chosen
Indicates the group of people for whom something (such as a work, product, or resource) is primarily intended or most suitable.
-
B.
secondaryAudience
Indicates that an entity is a secondary or additional intended audience or target group for another entity (such as a work, message, or product), beyond the primary audience.
-
C.
relatesToAudience
Indicates a general relationship or relevance between something and a particular audience or group of recipients.
-
D.
audienceDescribedAs
Indicates that an audience is characterized or labeled using a particular description or set of attributes.
-
E.
targetAudienceKnowledge
Indicates the level or type of prior knowledge that the intended audience is expected to have.
- 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_69f0a79f6d5c8190a350baed0157e06f |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f66a677f548190a696da12ab251cd8 |
completed | May 2, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f66339175c819080bd70f0ff7057b1 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 28, 2026, 3:02 p.m.