Triple
T7045307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trivikram Srinivas |
E163615
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Jalsa |
E632302
|
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: Jalsa | Statement: [Trivikram Srinivas, notableWork, Jalsa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jalsa Context triple: [Trivikram Srinivas, notableWork, Jalsa]
-
A.
Jalsa
chosen
Jalsa is a popular 2008 Telugu-language action-comedy film directed by Trivikram Srinivas and produced by Geetha Arts, starring Pawan Kalyan in the lead role.
-
B.
Kalsa
Kalsa is a historic district of Palermo, Italy, known for its Arab-Norman heritage, medieval streets, and vibrant cultural life.
-
C.
Lalsalu
Lalsalu is a classic Bengali novel by Syed Waliullah that explores religious hypocrisy and rural life in East Bengal.
-
D.
Jasdan
Jasdan is a town in the Rajkot district of Gujarat, India, known historically as the administrative center of the former princely state of Jasdan.
-
E.
Stryama
Stryama is a river in Bulgaria that flows through the central part of the country before joining the Maritsa River.
- 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_69c79c8379d88190b91b820851d1049a |
completed | March 28, 2026, 9:16 a.m. |
Created at: March 27, 2026, 2:37 p.m.