Triple
T22102901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ram Lakhan |
E546213
|
entity |
| Predicate | cinematographer |
P1953
|
FINISHED |
| Object | Kamalakar Rao |
—
|
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: Kamalakar Rao | Statement: [Ram Lakhan, cinematographer, Kamalakar Rao]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kamalakar Rao Context triple: [Ram Lakhan, cinematographer, Kamalakar Rao]
-
A.
Kamalakar Rao
chosen
Kamalakar Rao is an Indian cinematographer known for his work on the film "Karma."
-
B.
Koka Subba Rao
Koka Subba Rao was an Indian jurist who served as the Chief Justice of India and is noted for landmark judgments that strengthened fundamental rights and judicial review.
-
C.
Nambala Keshava Rao
Nambala Keshava Rao is an Indian Maoist leader who serves as the chief of the Communist Party of India (Maoist) and is considered one of the country’s most wanted insurgent figures.
-
D.
Manohar Raju
Manohar Raju is an American attorney and criminal justice reform advocate who serves as the elected Public Defender of San Francisco.
-
E.
Burgula Ramakrishna Rao
Burgula Ramakrishna Rao was an Indian politician and statesman who played a significant role in post-independence governance, including serving as the first Governor of Kerala.
- 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129175a7881909549883f23c53dca |
completed | April 28, 2026, 9:39 p.m. |
Created at: April 16, 2026, 8:30 p.m.