Triple
T27259406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Makkal Needhi Maiam |
E687713
|
entity |
| Predicate | associatedWithIndustryOfFounder |
P97851
|
FINISHED |
| Object | Tamil cinema |
—
|
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 | Statement: [Makkal Needhi Maiam, associatedWithIndustryOfFounder, Tamil cinema]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithIndustryOfFounder Context triple: [Makkal Needhi Maiam, associatedWithIndustryOfFounder, Tamil cinema]
-
A.
associatedProfessionOfFounder
chosen
Indicates the professional field or occupation linked to the founder of an entity.
-
B.
associatedWorkOfFounder
Indicates a relationship where a work (such as a publication, project, or creation) is linked to the person who founded or established it.
-
C.
companyFounderAssociated
Indicates that there is a notable connection or involvement between a company and an individual recognized as its founder.
-
D.
hasParentCompanyFounder
Indicates that an entity is the founder of the parent company of another entity.
-
E.
associatedInstitutionFounder
Indicates that an entity is the founder or co-founder of a particular institution with which they are associated.
- 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_69ef3557abc481908bf3c146f0f3356a |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69ffcb5536d88190bfc2e00b854cacfb |
completed | May 10, 2026, 12:03 a.m. |
| PD | Predicate disambiguation | batch_69ffc900c2a081909dea04aa60566923 |
completed | May 9, 2026, 11:53 p.m. |
Created at: April 27, 2026, 10:51 a.m.