Triple
T7045289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trivikram Srinivas |
E163615
|
entity |
| Predicate | directed |
P7373
|
FINISHED |
| Object | Julayi |
E604197
|
NE 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: Julayi | Statement: [Trivikram Srinivas, directed, Julayi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Julayi Context triple: [Trivikram Srinivas, directed, Julayi]
-
A.
Julayi
chosen
Julayi is a 2012 Telugu-language action comedy film starring Allu Arjun, known for its blend of high-energy entertainment, stylish action, and commercial success.
-
B.
Jula
Jula is a major Mande language widely used as a trade and lingua franca in parts of West Africa, particularly in Burkina Faso, Côte d’Ivoire, and Mali.
-
C.
Šaawanwa
Šaawanwa is the self-designated name of the Shawnee people, a Native American tribe historically located in the Eastern Woodlands of North America.
-
D.
Sikuani
The Sikuani are an Indigenous people of the Colombian and Venezuelan Llanos, known for their semi-nomadic traditions, rich oral culture, and Guahiboan language.
-
E.
Juli
Juli is a given name, typically used as a shortened or variant form of names like Julia or Julian in various languages.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c6885f598c8190b6b6495c59d8d962 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e238c7a4819095f5ff7283d48da8 |
completed | March 27, 2026, 8:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7887799f48190b4fa311defd8e9fd |
completed | March 28, 2026, 7:51 a.m. |
Created at: March 27, 2026, 2:37 p.m.