Triple
T29315058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady Superstar |
E743352
|
entity |
| Predicate | associatedWithLanguageIndustry |
P87230
|
FINISHED |
| Object | Tamil-language films |
—
|
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-language films | Statement: [Lady Superstar, associatedWithLanguageIndustry, Tamil-language films]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithLanguageIndustry Context triple: [Lady Superstar, associatedWithLanguageIndustry, Tamil-language films]
-
A.
workedWithLanguageIndustry
Indicates that an entity has performed work or professional activities within the language industry, such as translation, localization, interpreting, or related language services.
-
B.
relationToIndustry
Indicates how an entity is connected or relevant to a particular industry, such as through involvement, impact, or association.
-
C.
associatedWithEconomicSector
Indicates that an entity has a connection or involvement with a particular economic sector, such as operating, participating, or being relevant within that sector.
-
D.
linkedToLanguage
chosen
Indicates that an entity has an association or connection with a specific language, such as being expressed in, related to, or dependent on that language.
-
E.
majorIndustryAssociation
Indicates that there is a significant or primary industry-related association or affiliation between the entities.
- 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_69f0912502c8819087d9e8398ee991a8 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_6a03460f3a8c8190ae3f4cd69e0e54d9 |
completed | May 12, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_6a0345810b3481908aec06ab2b712e12 |
completed | May 12, 2026, 3:21 p.m. |
Created at: April 28, 2026, 1:19 p.m.