Triple
T22076066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | C. Ramchandra |
E545524
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Nastik |
—
|
NE NERFINISHED |
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: Nastik | Statement: [C. Ramchandra, notableWork, Nastik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nastik Context triple: [C. Ramchandra, notableWork, Nastik]
-
A.
Nastik
chosen
Nastik is a Hindi-language Indian film best known as a notable work of actor-filmmaker I. S. Johar.
-
B.
Naristi
The Naristi were an ancient Germanic tribe known primarily from Roman sources as neighbors of the Marcomanni in Central Europe.
-
C.
Nekede
Nekede is a suburban community in Imo State, Nigeria, known for hosting the Federal Polytechnic Nekede and lying on the outskirts of the city of Owerri.
-
D.
Nuska
Nuska is a Mesopotamian god of fire and light, often serving as a divine vizier and attendant to major deities in the Sumerian and Akkadian pantheons.
-
E.
Na Gode
"Na Gode" is a popular Afro-pop song by Nigerian singer Yemi Alade, known for its themes of gratitude and its blend of contemporary and traditional musical elements.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e3523488190badd54b5d580c00d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128b2bf60819082d38e671f160b0f |
completed | April 28, 2026, 9:37 p.m. |
Created at: April 16, 2026, 8:28 p.m.