Triple
T7164477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prabhas |
E167031
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Mirchi |
E638847
|
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: Mirchi | Statement: [Prabhas, notableWork, Mirchi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mirchi Context triple: [Prabhas, notableWork, Mirchi]
-
A.
Mirchi
chosen
Mirchi is a 2013 Telugu-language action drama film starring Prabhas, known for its blend of family sentiment, romance, and mass entertainment.
-
B.
Chopi
Chopi is a Bantu language spoken by the Chopi people primarily along the southern coast of Mozambique.
-
C.
Guntur Mirchi Yard
Guntur Mirchi Yard is one of Asia’s largest chili markets, serving as a major trading hub for red chilies in Guntur, India.
-
D.
Pinjra
Pinjra is a landmark 1972 Marathi-language film directed by V. Shantaram, renowned for its powerful social themes and memorable music.
-
E.
Chatti
The Chatti were an ancient Germanic tribe known from Roman sources, associated with the region of central Germany and often noted for their military prowess and conflicts with Rome.
- 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_69c68888c10c819095e0383020225758 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e83168a08190937ff46797d94f3e |
completed | March 27, 2026, 8:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7adcc145c8190ba65831ed891a225 |
completed | March 28, 2026, 10:30 a.m. |
Created at: March 27, 2026, 2:47 p.m.