Triple
T20751433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rama Revealed |
E510728
|
entity |
| Predicate | featuresSpecies |
P7733
|
FINISHED |
| Object | Raman |
—
|
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: Raman | Statement: [Rama Revealed, featuresSpecies, Raman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raman Context triple: [Rama Revealed, featuresSpecies, Raman]
-
A.
Raman
chosen
Raman is a common Indian surname most famously associated with physicist C. V. Raman, a Nobel laureate known for discovering the Raman effect in light scattering.
-
B.
Raj
Raj is the given name of Raj Reddy, a pioneering computer scientist known for his foundational work in artificial intelligence and robotics.
-
C.
Raj
Raj is the male protagonist of the 1988 Hindi romantic tragedy film "Qayamat Se Qayamat Tak," portrayed by Aamir Khan.
-
D.
Shankar
Shankar is a prominent Indian film director best known for his big-budget, socially themed blockbuster movies in Tamil cinema.
-
E.
Shankar
Shankar is the given name of Shankar Dayal Sharma, who served as the ninth President of India.
- 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_69e0b4c909ec8190b05987f1639513f6 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c22ad0c8819087a8db2bac8dd408 |
completed | April 21, 2026, 12:17 a.m. |
Created at: April 16, 2026, 12:34 p.m.